Sample records for weatherization water wind

  1. Sandia Energy - Wind & Water Power Newsletter

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Wind & Water Power Newsletter Home Stationary Power Energy Conversion Efficiency Wind Energy Resources Wind & Water Power Newsletter Wind & Water Power NewsletterTara...

  2. On the Use of QuikSCAT Scatterometer Measurements of Surface Winds for Marine Weather Prediction

    E-Print Network [OSTI]

    Kurapov, Alexander

    the accuracies of surface wind fields in the National Centers for Envi- ronmental Prediction (NCEP) and EuropeanOn the Use of QuikSCAT Scatterometer Measurements of Surface Winds for Marine Weather Prediction ocean vector winds for marine weather prediction is investigated from two Northern Hemisphere case

  3. Micro-meter Crack Response to Rock Blast Vibrations, Wind Gusts & Weather Effects

    E-Print Network [OSTI]

    Micro-meter Crack Response to Rock Blast Vibrations, Wind Gusts & Weather Effects C. H. Dowding,1 effects. These measurements substantiate the conservancy of the 12.5 mm/s (0.5 in./s) blasting vibration blasting. Measurements in this case study now extend weather effects to include wind. While it has been

  4. Wind Power Today, 2010, Wind and Water Power Program (WWPP)

    SciTech Connect (OSTI)

    Not Available

    2010-05-01T23:59:59.000Z

    Wind Power Today is an annual publication that provides an overview of the wind energy research conducted by the U.S. Department of Energy Wind and Water Power Program.

  5. Weather pattern climatology of the Great Plains and the related wind regime

    SciTech Connect (OSTI)

    Barchet, W.R.

    1982-11-01T23:59:59.000Z

    The meteorology of the Great Plains can be described as a constant progression of air masses, fronts and cyclonic storm systems. Each of these meteorological conditions can be characterized by identifiable isobaric and related weather parameter patterns. Nine such patterns have been defined to type the weather patterns in the Great Plains. Time series of weather pattern types were produced for 62 stations on the Great Plains. Statistical analyses of these time series produced annual and seasonal frequencies of occurrence of the weather pattern types. Maps of the annual and seasonal frequency of occurrence of weather pattern type are presented for the Great Plains. Persistence and alternation frequencies match what is expected for traveling temperate latitude cyclones, anticyclones and fronts. The wind regime for stations at which the anemometer height and location was constant (and known) for a minimum of three consecutive years was stratified by weather pattern type. Statistical analyses were made to show the response of the wind to the large-scale distribution of air pressure associated with a weather pattern type. The response of the wind to the weather pattern is a site-specific result of the interaction of the large-scale meteorology with local terrain, surface roughness and atmospheric stability. Mean wind speed discriminates between pairs of weather pattern types with better than 75% confidence for more than two-thirds of the possible pairs of weather pattern types.

  6. Wind Profiling by Doppler Weather Radar Iwan Holleman (holleman@knmi.nl)

    E-Print Network [OSTI]

    Stoffelen, Ad

    Wind Profiling by Doppler Weather Radar Iwan Holleman (holleman@knmi.nl) Royal Netherlands wind profiles at a high temporal resolution. Several algorithms and quality ensuring procedures for the extraction of wind profiles from radar volume data have been published. A comparison and verification

  7. Weather

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Weather Weather We provide access to the latest meteorological observations, climatological information, and weather forecast products for the Los Alamos area. December 14, 2011...

  8. Predicting the Energy Output of Wind Farms Based on Weather Data: Important Variables and their Correlation

    E-Print Network [OSTI]

    Vladislavleva, Katya; Neumann, Frank; Wagner, Markus

    2011-01-01T23:59:59.000Z

    Wind energy plays an increasing role in the supply of energy world-wide. The energy output of a wind farm is highly dependent on the weather condition present at the wind farm. If the output can be predicted more accurately, energy suppliers can coordinate the collaborative production of different energy sources more efficiently to avoid costly overproductions. With this paper, we take a computer science perspective on energy prediction based on weather data and analyze the important parameters as well as their correlation on the energy output. To deal with the interaction of the different parameters we use symbolic regression based on the genetic programming tool DataModeler. Our studies are carried out on publicly available weather and energy data for a wind farm in Australia. We reveal the correlation of the different variables for the energy output. The model obtained for energy prediction gives a very reliable prediction of the energy output for newly given weather data.

  9. Weather Incorporated for Needs Development (W.I.N.D.)

    SciTech Connect (OSTI)

    Paul Gunderson; Melinda Martin; Jay Johnson

    2012-01-30T23:59:59.000Z

    The OSHA Power Generation Standard states that power generation employees shall be trained in specific applications of the standard that apply to individual job requirements. The intent of the project objective, then, is to create a tailored course that identifies standard requirements that apply to wind energy technicians.The purpose of this project is to develop an OSHA Power Generation Standard (1910.269) training course for both college based wind energy technician students and for continued workforce training of already employed wind technicians.

  10. Static and Fatigue Analysis of Wind Turbine Blades Subject to Cold Weather Conditions Using Finite Element Analysis

    E-Print Network [OSTI]

    Victoria, University of

    Static and Fatigue Analysis of Wind Turbine Blades Subject to Cold Weather Conditions Using Finite Turbine Blades Subject to Cold Weather Conditions Using Finite Element Analysis by Patricio Andres Lillo experienced in candi- date Canadian wind turbine deployment locations. The thesis then narrows its focus

  11. Conventional Hydropower Technologies, Wind And Water Power Program...

    Office of Environmental Management (EM)

    Conventional Hydropower Technologies, Wind And Water Power Program (WWPP) (Fact Sheet) Conventional Hydropower Technologies, Wind And Water Power Program (WWPP) (Fact Sheet) The US...

  12. Wind Energy Benefits, Wind Powering America (WPA) (Fact Sheet), Wind And Water Power Program (WWPP)

    Broader source: Energy.gov [DOE]

    This fact sheet outlines the top 10 benefits of wind energy, including cost, water savings, job creation, indigenous resource, and low operating costs.

  13. Coupling a Mesoscale Numerical Weather Prediction Model with Large-Eddy Simulation for Realistic Wind Plant Aerodynamics Simulations (Poster)

    SciTech Connect (OSTI)

    Draxl, C.; Churchfield, M.; Mirocha, J.; Lee, S.; Lundquist, J.; Michalakes, J.; Moriarty, P.; Purkayastha, A.; Sprague, M.; Vanderwende, B.

    2014-06-01T23:59:59.000Z

    Wind plant aerodynamics are influenced by a combination of microscale and mesoscale phenomena. Incorporating mesoscale atmospheric forcing (e.g., diurnal cycles and frontal passages) into wind plant simulations can lead to a more accurate representation of microscale flows, aerodynamics, and wind turbine/plant performance. Our goal is to couple a numerical weather prediction model that can represent mesoscale flow [specifically the Weather Research and Forecasting model] with a microscale LES model (OpenFOAM) that can predict microscale turbulence and wake losses.

  14. Water Rock Interaction [WRI 14] Chemical weathering of granitic rocks: experimental approach and Pb-Li

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    of water/rock interactions both in terms of source and extent of weathering, by measuring major and traceWater Rock Interaction [WRI 14] Chemical weathering of granitic rocks: experimental approach and Pb, France Abstract In order to characterize water/rock interactions of granite, we performed laboratory

  15. Weather

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron SpinPrincetonUsing Maps1DOETHE FUTURE LOOKSofthe Geeks:WeaponsWeather

  16. Critical Fire Weather Patterns

    E-Print Network [OSTI]

    Clements, Craig

    .1 Sundowner Winds FAT -- 1.1 Southeastern U.S. Fire Weather LIT -- 1.1 East Winds MFR -- 1.1 East Winds OLM

  17. Flat Water Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualPropertyd8c-a9ae-f8521cbb8489 NoEuropeStrat.pdfInactive JumpFirst WindWater Wind Farm Jump to:

  18. Using Mesoscale Weather Model Output as Boundary Conditions for Atmospheric Large-Eddy Simulations and Wind-Plant Aerodynamic Simulations (Presentation)

    SciTech Connect (OSTI)

    Churchfield, M. J.; Michalakes, J.; Vanderwende, B.; Lee, S.; Sprague, M. A.; Lundquist, J. K.; Moriarty, P. J.

    2013-10-01T23:59:59.000Z

    Wind plant aerodynamics are directly affected by the microscale weather, which is directly influenced by the mesoscale weather. Microscale weather refers to processes that occur within the atmospheric boundary layer with the largest scales being a few hundred meters to a few kilometers depending on the atmospheric stability of the boundary layer. Mesoscale weather refers to large weather patterns, such as weather fronts, with the largest scales being hundreds of kilometers wide. Sometimes microscale simulations that capture mesoscale-driven variations (changes in wind speed and direction over time or across the spatial extent of a wind plant) are important in wind plant analysis. In this paper, we present our preliminary work in coupling a mesoscale weather model with a microscale atmospheric large-eddy simulation model. The coupling is one-way beginning with the weather model and ending with a computational fluid dynamics solver using the weather model in coarse large-eddy simulation mode as an intermediary. We simulate one hour of daytime moderately convective microscale development driven by the mesoscale data, which are applied as initial and boundary conditions to the microscale domain, at a site in Iowa. We analyze the time and distance necessary for the smallest resolvable microscales to develop.

  19. Basalt weathering rates on Earth and the duration of liquid water on the plains of Gusev Crater, Mars

    E-Print Network [OSTI]

    Hausrath, E.M.

    2008-01-01T23:59:59.000Z

    Basalt weathering rates on Earth and the duration of liquidCarlisle, PA 17013 Earth Sciences Division, Lawrencetime to liquid water: on Earth, mineral persistence times

  20. The Weather Is Our Water Supply:The Weather Is Our Water Supply: Community Involvement in Monitoring Climate

    E-Print Network [OSTI]

    Precipitation Solar energy Evapotranspiration http://www.coagmet.com #12;Center, Colo., CoAgMet Daily Values at land-grant universities. The Colorado Climate Center was established at Colorado State University Acquisition and Archive Elements: temperature, precipitation, snow, wind, solar, evaporation, soil

  1. Sandia National Laboratories: Wind & Water Power Newsletter

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    reports, papers, and events published by Sandia. This monthly newsletter is intended for wind industry partners, stakeholders, universities and potential partners. This issue...

  2. Water Power for a Clean Energy Future (Fact Sheet), Wind and...

    Energy Savers [EERE]

    Water Power for a Clean Energy Future (Fact Sheet), Wind and Water Power Program (WWPP) Water Power for a Clean Energy Future (Fact Sheet), Wind and Water Power Program (WWPP) This...

  3. NREL: Wind Research - Wind and Water Power Fact Sheets

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible for Renewable Energy: GridTruck Platooning Testing Photofrom U.S.6SiteUtility-ScaleWind

  4. Wind Power Today, 2010, Wind and Water Power Program (WWPP)

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your DensityEnergy U.S.-China Electric VehicleCenters | Department ofofto PurchaseAprilWind Power

  5. Set-up of oil on water by wind

    E-Print Network [OSTI]

    Spencer, Edmund Beryle

    1970-01-01T23:59:59.000Z

    SET-UP OF OIL ON WATER EY WIND A Thesis by EQ&1UND BERYLE SFFNCER Submitted to the Oraduate College of Texas ASM University in partial fulfillment of the requirement Ior the d gee of iiASTFR OF SCIENCE August 1970 i:aj or Sub j ect: Civil...) Edmund B. Spencer, B. S. , Vanderbilt University Directed by: Dr. Robert M. Sorensen Set-up of various density and viscosity oils on water' s surface when subjected to wind was studied analytically and experimentally using a two-dimensional wind...

  6. Wind Power Answer In Times of Water Scarcity (Presentation)

    SciTech Connect (OSTI)

    Flowers, L.; Reategui, S.

    2010-05-25T23:59:59.000Z

    Strategic energy planning is paramount during times of dramatic population growth, global warming, increasing energy demands, and concerns over energy security, food security, and economic development. Recent concerns over water scarcity have moved the energy-water issue to the forefront of energy options discussions. This presentation describes the current water challenges in the United States and presents a case for wind energy as one way to mitigate the problem of water scarcity in several U.S. regions while providing a clean and sustainable economic future for America.

  7. The effect of wind speed fluctuations on the performance of a wind-powered membrane system for brackish water desalination 

    E-Print Network [OSTI]

    Park, Gavin L.; Schäfer, Andrea; Richards, Bryce S.

    2011-01-01T23:59:59.000Z

    A wind-powered reverse osmosis membrane (wind-membrane) system without energy storage was tested using synthetic brackish water (2750 and 5500 mg/L NaCl) over a range of simulated wind speeds under both steady-state and ...

  8. WATER POWER SOLAR POWER WIND POWER

    Broader source: Energy.gov (indexed) [DOE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilA group current C3EDepartmentDepartment(GATE)ActionSolar Water Heat Water

  9. Why do meteorologists use wind vanes? Wind vanes are used to determine the direction of the wind. Wind

    E-Print Network [OSTI]

    Nebraska-Lincoln, University of

    Fun Facts Why do meteorologists use wind vanes? Wind vanes are used to determine the direction of the wind. Wind· vanes are also called weather vanes. What do wind vanes look like on a weather station? Wind vanes that are on weather stations look a lot like the one you· made! The biggest differences

  10. Growth and dissipation of wind-forced, deep water waves Journal: Journal of Fluid Mechanics

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Growth and dissipation of wind-forced, deep water waves Journal: Journal of Fluid Mechanics AND DISSIPATION OF WIND-FORCED, DEEP WATER WAVES Laurent Grare1, , William L. Peirson2 , Hubert Branger1 , James W to the interface with corresponding form drag measurements above wind-forced freely-propagating waves. The drag

  11. Evaluation of Offshore Wind Simulations with MM5 in the Japanese and Danish Coastal Waters

    E-Print Network [OSTI]

    Heinemann, Detlev

    Evaluation of Offshore Wind Simulations with MM5 in the Japanese and Danish Coastal Waters Teruo to evaluate the accuracy of offshore wind simulation with the mesoscale model MM5, long-term simulations to simulate offshore wind conditions in the Japanese coastal waters even using a mesoscale model, compared

  12. The Quality of a 48-Hours Wind Power Forecast Using the German and Danish Weather Prediction Model

    E-Print Network [OSTI]

    Heinemann, Detlev

    numerical weather prediction models operated by the weather services are refined by taking into account stock exchange. The typical predic- tion time horizon which is needed for these purposes is 3 to 48 are applied taking into account the effects from lo- cal roughness, thermal stratification of the atmosphere

  13. AIR-FLOW STRUCTURE IN THE VERY CLOSE VICINITY OF WIND GENERATED WATER-WAVES

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    the static pressure, / , the slope of the water waves, the air kinematic viscosity. Wave characteristics wereAIR-FLOW STRUCTURE IN THE VERY CLOSE VICINITY OF WIND GENERATED WATER-WAVES Hubert Branger1 the structure of the air flow in the very close vicinity of the water-surface above wind-generated waves. We

  14. Wind Energy Benefits, Wind Powering America (WPA) (Fact Sheet...

    Broader source: Energy.gov (indexed) [DOE]

    Energy Benefits, Wind Powering America (WPA) (Fact Sheet), Wind And Water Power Program (WWPP) Wind Energy Benefits, Wind Powering America (WPA) (Fact Sheet), Wind And Water Power...

  15. Wind Energy Applications for Municipal Water Services: Opportunities, Situation Analyses, and Case Studies; Preprint

    SciTech Connect (OSTI)

    Flowers, L.; Miner-Nordstrom, L.

    2006-01-01T23:59:59.000Z

    As communities grow, greater demands are placed on water supplies, wastewater services, and the electricity needed to power the growing water services infrastructure. Water is also a critical resource for thermoelectric power plants. Future population growth in the United States is therefore expected to heighten competition for water resources. Many parts of the United States with increasing water stresses also have significant wind energy resources. Wind power is the fastest-growing electric generation source in the United States and is decreasing in cost to be competitive with thermoelectric generation. Wind energy can offer communities in water-stressed areas the option of economically meeting increasing energy needs without increasing demands on valuable water resources. Wind energy can also provide targeted energy production to serve critical local water-system needs. The research presented in this report describes a systematic assessment of the potential for wind power to support water utility operation, with the objective to identify promising technical applications and water utility case study opportunities. The first section describes the current situation that municipal providers face with respect to energy and water. The second section describes the progress that wind technologies have made in recent years to become a cost-effective electricity source. The third section describes the analysis employed to assess potential for wind power in support of water service providers, as well as two case studies. The report concludes with results and recommendations.

  16. Importance of wind conditions, fetch, and water levels on wave-generated shear stresses in shallow intertidal basins

    E-Print Network [OSTI]

    Fagherazzi, Sergio

    Importance of wind conditions, fetch, and water levels on wave-generated shear stresses in shallow, and wind direction on water depth, fetch, and the resulting wave-generated shear stresses. We identify four. Wiberg (2009), Importance of wind conditions, fetch, and water levels on wave-generated shear stresses

  17. Response of Red-Tailed Hawks and Golden Eagles to Topographical Features, Weather, and Abundance of a Dominant Prey Species at the Altamont Pass Wind Resource Area, California: April 1999-December 2000

    SciTech Connect (OSTI)

    Hoover, S.

    2002-06-01T23:59:59.000Z

    Studies have shown that raptors flying within the Altamont Pass WRA are vulnerable to fatal turbine collisions, possibly because of their specific foraging and flight behavior. Between June 1999 and June 2000, I conducted 346.5 hours of raptor observations within the Atlamont Pass WRA. Behavior was recorded in relation to characteristics of the topography (slope aspect, elevation, and inclination), the weather, and ground squirrel abundance, as determined by active burrow entrances. The most significant finding of this study revealed that red-tailed hawks and golden eagles flew more in strong winds than in weak winds, particularly along hillsides facing into prevailing winds (as opposed to hillsides shielded from the wind). This is likely a result of the birds' use of declivity currents for lift during flights. These results suggest that certain combinations of topography and weather produce wind currents that are sought out by foraging red-tailed hawks and golden eagles within the Altamont Pass WRA. To decrease raptor mortality, mitigation measures can be targeted to specific areas likely to attract foraging raptors because of their capacity to create particularly favorable wind currents.

  18. Nonlinear fast growth of water waves under wind forcing

    E-Print Network [OSTI]

    Brunetti, Maura; Berti, Nicolas; Kasparian, Jérôme

    2014-01-01T23:59:59.000Z

    In the wind-driven wave regime, the Miles mechanism gives an estimate of the growth rate of the waves under the effect of wind. We consider the case where this growth rate, normalised with respect to the frequency of the carrier wave, is of the order of the wave steepness. Using the method of multiple scales, we calculate the terms which appear in the nonlinear Schr\\"odinger (NLS) equation in this regime of fast-growing waves. We define a coordinate transformation which maps the forced NLS equation into the standard NLS with constant coefficients, that has a number of known analytical soliton solutions. Among these solutions, the Peregrine and the Akhmediev solitons show an enhancement of both their lifetime and maximum amplitude which is in qualitative agreement with the results of tank experiments and numerical simulations of dispersive focusing under the action of wind.

  19. Interstellar Weather Vanes: GLIMPSE Mid-Infrared Stellar-Wind Bowshocks in M17 and RCW49

    E-Print Network [OSTI]

    Matthew S. Povich; Robert A. Benjamin; Barbara A. Whitney; Brian L. Babler; Remy Indebetouw; Marilyn R. Meade; Ed Churchwell

    2008-08-15T23:59:59.000Z

    We report the discovery of six infrared stellar-wind bowshocks in the Galactic massive star formation regions M17 and RCW49 from Spitzer GLIMPSE (Galactic Legacy Infrared Mid-Plane Survey Extraordinaire) images. The InfraRed Array Camera (IRAC) on the Spitzer Space Telescope clearly resolves the arc-shaped emission produced by the bowshocks. We combine Two Micron All-Sky Survey (2MASS), Spitzer, MSX, and IRAS observations to obtain the spectral energy distributions (SEDs) of the bowshocks and their individual driving stars. We use the stellar SEDs to estimate the spectral types of the three newly-identified O stars in RCW49 and one previously undiscovered O star in M17. One of the bowshocks in RCW49 reveals the presence of a large-scale flow of gas escaping the H II region at a few 10^2 km/s. Radiation-transfer modeling of the steep rise in the SED of this bowshock toward longer mid-infrared wavelengths indicates that the emission is coming principally from dust heated by the star driving the shock. The other 5 bowshocks occur where the stellar winds of O stars sweep up dust in the expanding H II regions.

  20. Q-Winds satellite hurricane wind retrievals and H*Wind comparisons

    E-Print Network [OSTI]

    Hennon, Christopher C.

    of the hurricane surface winds from NOAA and U.S. Air Force Weather Squadron aircraft flights. Further, results1 Q-Winds satellite hurricane wind retrievals and H*Wind comparisons Pet Laupattarakasem and W This paper presents a new hurricane ocean vector wind (OVW) product known as Q-Winds produced from the SeaWinds

  1. Site characterization summary report for dry weather surface water sampling upper East Fork Poplar Creek characterization area Oak Ridge Y-12 Plant, Oak Ridge, Tennessee

    SciTech Connect (OSTI)

    NONE

    1996-08-01T23:59:59.000Z

    This report describes activities associated with conducting dry weather surface water sampling of Upper East Fork Poplar Creek (UEFPC) at the Oak Ridge Y-12 Plant, Oak Ridge, Tennessee. This activity is a portion of the work to be performed at UEFPC Operable Unit (OU) 1 [now known as the UEFPC Characterization Area (CA)], as described in the RCRA Facility Investigation Plan for Group 4 at the Oak- Ridge Y-12 Plant, Oak Ridge, Tennessee and in the Response to Comments and Recommendations on RCRA Facility Investigation Plan for Group 4 at the Oak Ridge Y-12 Plant, Oak Ridge, Tennessee, Volume 1, Operable Unit 1. Because these documents contained sensitive information, they were labeled as unclassified controlled nuclear information and as such are not readily available for public review. To address this issue the U.S. Department of Energy (DOE) published an unclassified, nonsensitive version of the initial plan, text and appendixes, of this Resource Conservation and Recovery Act (RCRA) Facility Investigation (RFI) Plan in early 1994. These documents describe a program for collecting four rounds of wet weather and dry weather surface water samples and one round of sediment samples from UEFPC. They provide the strategy for the overall sample collection program including dry weather sampling, wet weather sampling, and sediment sampling. Figure 1.1 is a schematic flowchart of the overall sampling strategy and other associated activities. A Quality Assurance Project Plan (QAPJP) was prepared to specifically address four rounds of dry weather surface water sampling and one round of sediment sampling. For a variety of reasons, sediment sampling has not been conducted and has been deferred to the UEFPC CA Remedial Investigation (RI), as has wet weather sampling.

  2. Wind Power Today, 2010, Wind and Water Power Program (WWPP) | Department of

    Broader source: Energy.gov (indexed) [DOE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilA group currentBradley NickellApril 16, 2008 TBD-0075 -In theWideWind

  3. Wind Power Today, 2010, Wind and Water Power Program (WWPP) | Department of

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your DensityEnergy U.S.-China Electric VehicleCenters | Department ofofto PurchaseAprilWind PowerEnergy

  4. Wind and Water Power Program Realignment | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your DensityEnergy U.S.-China Electric VehicleCenters | Department ofoftoMay 8,Energy Wind Vision: A Newand

  5. Remote sensing of total integrated water vapor, wind speed, and cloud liquid water over the ocean using the Special Sensor Microwave/Imager (SSM/I)

    E-Print Network [OSTI]

    Manning, Norman Willis William

    1997-01-01T23:59:59.000Z

    A modified D-matrix retrieval method is the basis of the refined total integrated water vapor (TIWV), total integrated cloud liquid water (CLW), and surface wind speed (WS) retrieval methods that are developed. The 85 GHZ polarization difference...

  6. Comments on Jacobson et al.'s proposal for a wind, water, and solar energy future for New York State

    E-Print Network [OSTI]

    Jaramillo, Paulina

    Forum Comments on Jacobson et al.'s proposal for a wind, water, and solar energy future for New April 2013 Accepted 2 May 2013 Keywords: Energy systems Renewable integration Global warming a b s t r of the energy demands in New York State with wind, solar, and water resources. In this forum we suggest

  7. Commercial Weatherization

    Broader source: Energy.gov [DOE]

    Commercial buildings consume 19 percent of the energy used in the U.S. Learn how the Energy Department is supporting research and deployment on commercial weatherization.

  8. Sandia Energy - Wind and Water Materials and Structures Database Download

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del Sol Home DistributionTransportation Safety HomeWater PowerEnergy

  9. Weatherization Roundup

    Broader source: Energy.gov [DOE]

    More than 750 thousand homes were weatherized by the Department’s Weatherization Assistance Program in the past three years. Secretary Chu spoke with governors and members of Congress around the country to celebrate this huge accomplishment -- which was finished ahead of schedule and is saving the average household $400 annually on their heating and cooling bills.

  10. Weatherizing America

    ScienceCinema (OSTI)

    Stewart, Zachary; Bergeron, T.J.; Barth, Dale; Qualis, Xavier; Sewall, Travis; Fransen, Richard; Gill, Tony;

    2013-05-29T23:59:59.000Z

    As Recovery Act money arrives to expand home weatherization programs across the country, Zachary Stewart of Phoenix, Ariz., and others have found an exciting opportunity not only to start working again, but also to find a calling.

  11. Weatherizing America

    Broader source: Energy.gov [DOE]

    As Recovery Act money arrives to expand home weatherization programs across the country, Zachary Stewart of Phoenix, Ariz., and others have found an exciting opportunity not only to start working...

  12. Optimization of a Savonius rotor vertical-axis wind turbine for use in water pumping systems in rural Honduras

    E-Print Network [OSTI]

    Zingman, Aron (Aron Olesen)

    2007-01-01T23:59:59.000Z

    The D-lab Honduras team designed and constructed a wind-powered water pump in rural Honduras during IAP 2007. Currently, the system does not work under its own power and water must be pumped by hand. This thesis seeks to ...

  13. Water Power for a Clean Energy Future (Fact Sheet), Wind and Water Power Program (WWPP)

    Broader source: Energy.gov (indexed) [DOE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilA group currentBradley Nickell DirectorThe Water Power Program, part ofWater Power

  14. Hour-by-Hour Cost Modeling of Optimized Central Wind-Based Water...

    Broader source: Energy.gov (indexed) [DOE]

    Hydrogen Production for Energy Storage & Transportation Liquid Hydrogen Production and Delivery from a Dedicated Wind Power Plant Final Solar and Wind H2 Report EPAct 812.doc...

  15. U.S. Department of Energy Wind and Water Power Program Funding...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    industry. The Wind Program provides R&D funding across six broad areas: 1. Offshore Wind Projects 2. Testing, Manufacturing, and Component Development Projects for...

  16. Water: May be the Best Near-Term Benefit and Driver of a Robust Wind Energy Future (Poster)

    SciTech Connect (OSTI)

    Flowers, L.; Reategui, S.

    2009-05-01T23:59:59.000Z

    Water may be the most critical natural resource variable that affects the selection of generation options in the next decade. Extended drought in the western United States and more recently in the Southeast has moved water management and policy to the forefront of the energy options discussions. Recent climate change studies indicate that rising ambient temperatures could increase evapotranspiration by more than 25% to 30% in large regions of the country. Increasing demand for electricity, and especially from homegrown sources, inevitably will increase our thermal fleet, which consumes 400 to 700 gal/MWh for cooling. Recovering the vast oil shale resources in the West (one of the energy options discussed) is water intensive and threatens scarce water supplies. Irrigation for the growing corn ethanol industry requires 1,000 to 2,000 gallons of water for 1 gallon of production. Municipalities continue to grow and drive water demands and emerging constrained market prices upward. As illustrated by the 20% Wind Energy by 2030 analysis, wind offers an important mitigation opportunity: a 4-trillion-gallon water savings. This poster highlights the emerging constrained water situation in the United States and presents the case for wind energy as one of the very few means to ameliorate the emerging water wars in various U.S. regions.

  17. Wind Tunnel Building - 1 

    E-Print Network [OSTI]

    Unknown

    2005-06-30T23:59:59.000Z

    This paper describes a simple graphic tool that enables a building designer to evaluate the potential for wind induced ventilation cooling in several climate zones. Long term weather data were analyzed to determine the conditions for which available...

  18. Water Power for a Clean Energy Future (Fact Sheet), Wind and Water Power

    Broader source: Energy.gov (indexed) [DOE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilA group currentBradley Nickell DirectorThe Water Power Program, part of

  19. Economic analysis of wind-powered refrigeration cooling/water-heating systems in food processing. Final report

    SciTech Connect (OSTI)

    Garling, W.S.; Harper, M.R.; Merchant-Geuder, L.; Welch, M.

    1980-03-01T23:59:59.000Z

    Potential applications of wind energy include not only large central turbines that can be utilized by utilities, but also dispersed systems for farms and other applications. The US Departments of Energy (DOE) and Agriculture (USDA) currently are establishing the feasibility of wind energy use in applications where the energy can be used as available, or stored in a simple form. These applications include production of hot water for rural sanitation, heating and cooling of rural structures and products, drying agricultural products, and irrigation. This study, funded by USDA, analyzed the economic feasibility of wind power in refrigeration cooling and water heating systems in food processing plants. Types of plants included were meat and poultry, dairy, fruit and vegetable, and aquaculture.

  20. Watching ColoradoWatching Colorado WeatherWeather

    E-Print Network [OSTI]

    ­ Evapotranspiration #12;CoAgMet Southeast Colorado #12;Hoehne CoAgMet Weather Station #12;Hoehne Daily Temperatures #12;Hoehne Relative Humidity #12;Hoehne Solar Radiation #12;Hoehne Wind Speed #12;Hoehne ET Reference Hoehne ET Reference 0.00 0.05 0.10 0.15 0.20 0.25 0.30 0.35 0.40 0.45 0.50 Jan-04 Jan-04 Feb-04 M ar-04 M

  1. Lake Michigan Offshore Wind Feasibility Assessment

    SciTech Connect (OSTI)

    Boezaart, Arnold [GVSU; Edmonson, James [GVSU; Standridge, Charles [GVSU; Pervez, Nahid [GVSU; Desai, Neel [University of Michigan; Williams, Bruce [University of Delaware; Clark, Aaron [GVSU; Zeitler, David [GVSU; Kendall, Scott [GVSU; Biddanda, Bopi [GVSU; Steinman, Alan [GVSU; Klatt, Brian [Michigan State University; Gehring, J. L. [Michigan State University; Walter, K. [Michigan State University; Nordman, Erik E. [GVSU

    2014-06-30T23:59:59.000Z

    The purpose of this project was to conduct the first comprehensive offshore wind assessment over Lake Michigan and to advance the body of knowledge needed to support future commercial wind energy development on the Great Lakes. The project involved evaluation and selection of emerging wind measurement technology and the permitting, installation and operation of the first mid-lake wind assessment meteorological (MET) facilities in Michigan’s Great Lakes. In addition, the project provided the first opportunity to deploy and field test floating LIDAR and Laser Wind Sensor (LWS) technology, and important research related equipment key to the sitting and permitting of future offshore wind energy development in accordance with public participation guidelines established by the Michigan Great Lakes Wind Council (GLOW). The project created opportunities for public dialogue and community education about offshore wind resource management and continued the dialogue to foster Great Lake wind resource utilization consistent with the focus of the GLOW Council. The technology proved to be effective, affordable, mobile, and the methods of data measurement accurate. The public benefited from a substantial increase in knowledge of the wind resources over Lake Michigan and gained insights about the potential environmental impacts of offshore wind turbine placements in the future. The unique first ever hub height wind resource assessment using LWS technology over water and development of related research data along with the permitting, sitting, and deployment of the WindSentinel MET buoy has captured public attention and has helped to increase awareness of the potential of future offshore wind energy development on the Great Lakes. Specifically, this project supported the acquisition and operation of a WindSentinel (WS) MET wind assessment buoy, and associated research for 549 days over multiple years at three locations on Lake Michigan. Four research objectives were defined for the project including to: 1) test and validate floating LIDAR technology; 2) collect and access offshore wind data; 3) detect and measure bird and bat activity over Lake Michigan; 4) conduct an over water sound propagation study; 5) prepare and offer a college course on offshore energy, and; 6) collect other environmental, bathometric, and atmospheric data. Desk-top research was performed to select anchorage sites and to secure permits to deploy the buoy. The project also collected and analyzed data essential to wind industry investment decision-making including: deploying highly mobile floating equipment to gather offshore wind data; correlating offshore wind data with conventional on-shore MET tower data; and performing studies that can contribute to the advancement and deployment of offshore wind technologies. Related activities included: • Siting, permitting, and deploying an offshore floating MET facility; • Validating the accuracy of floating LWS using near shoreline cup anemometer MET instruments; • Assessment of laser pulse technology (LIDAR) capability to establish hub height measurement of wind conditions at multiple locations on Lake Michigan; • Utilizing an extended-season (9-10 month) strategy to collect hub height wind data and weather conditions on Lake Michigan; • Investigation of technology best suited for wireless data transmission from distant offshore structures; • Conducting field-validated sound propagation study for a hypothetical offshore wind farm from shoreline locations; • Identifying the presence or absence of bird and bat species near wind assessment facilities; • Identifying the presence or absence of benthic and pelagic species near wind assessment facilities; All proposed project activities were completed with the following major findings: • Floating Laser Wind Sensors are capable of high quality measurement and recordings of wind resources. The WindSentinel presented no significant operational or statistical limitations in recording wind data technology at a at a high confidence level as compared to traditional an

  2. Aging and weathering of cool roofing membranes

    SciTech Connect (OSTI)

    Akbari, Hashem; Berhe, Asmeret A.; Levinson, Ronnen; Graveline,Stanley; Foley, Kevin; Delgado, Ana H.; Paroli, Ralph M.

    2005-08-23T23:59:59.000Z

    Aging and weathering can reduce the solar reflectance of cool roofing materials. This paper summarizes laboratory measurements of the solar spectral reflectance of unweathered, weathered, and cleaned samples collected from single-ply roofing membranes at various sites across the United States. Fifteen samples were examined in each of the following six conditions: unweathered; weathered; weathered and brushed; weathered, brushed and then rinsed with water; weathered, brushed, rinsed with water, and then washed with soap and water; and weathered, brushed, rinsed with water, washed with soap and water, and then washed with an algaecide. Another 25 samples from 25 roofs across the United States and Canada were measured in their unweathered state, weathered, and weathered and wiped. We document reduction in reflectivity resulted from various soiling mechanisms and provide data on the effectiveness of various cleaning approaches. Results indicate that although the majority of samples after being washed with detergent could be brought to within 90% of their unweathered reflectivity, in some instances an algaecide was required to restore this level of reflectivity.

  3. PV powering a weather station for severe weather

    SciTech Connect (OSTI)

    Young, W. Jr. [Florida Solar Energy Center, Cocoa, FL (United States); Schmidt, J. [Joe Schmidt, Inc., Miami, FL (United States)

    1997-12-31T23:59:59.000Z

    A natural disaster, such as Hurricane Andrew, destroys thousands of homes and businesses. The destruction from this storm left thousands of people without communications, potable water, and electrical power. This prompted the Florida Solar Energy Center to study the application of solar electric power for use in disasters. During this same period, volunteers at the Tropical Prediction Center at the National Hurricane Center (NHC), Miami, Florida and the Miami Office of the National Weather Service (NWS) were working to increase the quantity and quality of observations received from home weather stations. Forecasters at NHC have found surface reports from home weather stations a valuable tool in determining the size, strength and course of hurricanes. Home weather stations appear able to record the required information with an adequate level of accuracy. Amateur radio, utilizing the Automatic Packet Report System, (APRS) can be used to transmit this data to weather service offices in virtually real time. Many weather data collecting stations are at remote sites which are not readily serviced by dependable commercial power. Photovoltaic (solar electric) modules generate electricity and when connected to a battery can operate as a stand alone power system. The integration of these components provides an inexpensive standalone system. The system is easy to install, operates automatically and has good communication capabilities. This paper discusses the design criteria, operation, construction and deployment of a prototype solar powered weather station.

  4. Submitted to the Journal of the American Water Resources Association Potential Human Health Effects Associated with Pathogens in Urban Wet Weather Flows

    E-Print Network [OSTI]

    Pitt, Robert E.

    Effects Associated with Pathogens in Urban Wet Weather Flows Robert Pitt1 , Melinda Lalor2 , and John stormwater conveyance systems, or wet weather sewage overflows, may adversely impact many of the desired uses. Urban runoff or wet weather flows include not only precipitation and washoff from lawns and landscaped

  5. Development of Offshore Wind Recommended Practice for U.S. Waters: Preprint

    SciTech Connect (OSTI)

    Musial, W. D.; Sheppard, R. E.; Dolan, D.; Naughton, B.

    2013-04-01T23:59:59.000Z

    This paper discusses how the American Petroleum Institute oil and gas standards were interfaced with International Electrotechnical Commission and other wind turbine and offshore industry standards to provide guidance for reliable engineering design practices for offshore wind energy systems.

  6. U.S. Department of Energy Wind and Water Power Program Funding...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Wind Turbine Systems through Advanced Control Strategies 3,780,848 FY11: U.S. Offshore Wind: Technology Development FOA Virginia Project Description Alstom Power is developing an...

  7. U.S. Department of Energy Wind and Water Power Program Funding...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Title DOE Funding Amount Funding Source Project Location ABB, Inc. National Offshore Wind Energy Grid Interconnection Study 900,000 FY11: U.S. Offshore Wind: Removing Market...

  8. Coastal Ohio Wind Project

    SciTech Connect (OSTI)

    Gorsevski, Peter; Afjeh, Abdollah; Jamali, Mohsin; Bingman, Verner

    2014-04-04T23:59:59.000Z

    The Coastal Ohio Wind Project intends to address problems that impede deployment of wind turbines in the coastal and offshore regions of Northern Ohio. The project evaluates different wind turbine designs and the potential impact of offshore turbines on migratory and resident birds by developing multidisciplinary research, which involves wildlife biology, electrical and mechanical engineering, and geospatial science. Firstly, the project conducts cost and performance studies of two- and three-blade wind turbines using a turbine design suited for the Great Lakes. The numerical studies comprised an analysis and evaluation of the annual energy production of two- and three-blade wind turbines to determine the levelized cost of energy. This task also involved wind tunnel studies of model wind turbines to quantify the wake flow field of upwind and downwind wind turbine-tower arrangements. The experimental work included a study of a scaled model of an offshore wind turbine platform in a water tunnel. The levelized cost of energy work consisted of the development and application of a cost model to predict the cost of energy produced by a wind turbine system placed offshore. The analysis found that a floating two-blade wind turbine presents the most cost effective alternative for the Great Lakes. The load effects studies showed that the two-blade wind turbine model experiences less torque under all IEC Standard design load cases considered. Other load effects did not show this trend and depending on the design load cases, the two-bladed wind turbine showed higher or lower load effects. The experimental studies of the wake were conducted using smoke flow visualization and hot wire anemometry. Flow visualization studies showed that in the downwind turbine configuration the wake flow was insensitive to the presence of the blade and was very similar to that of the tower alone. On the other hand, in the upwind turbine configuration, increasing the rotor blade angle of attack reduced the wake size and enhanced the vortices in the flow downstream of the turbine-tower compared with the tower alone case. Mean and rms velocity distributions from hot wire anemometer data confirmed that in a downwind configuration, the wake of the tower dominates the flow, thus the flow fields of a tower alone and tower-turbine combinations are nearly the same. For the upwind configuration, the mean velocity shows a narrowing of the wake compared with the tower alone case. The downwind configuration wake persisted longer than that of an upwind configuration; however, it was not possible to quantify this difference because of the size limitation of the wind tunnel downstream of the test section. The water tunnel studies demonstrated that the scale model studies could be used to adequately produce accurate motions to model the motions of a wind turbine platform subject to large waves. It was found that the important factors that affect the platform is whether the platform is submerged or surface piercing. In the former, the loads on the platform will be relatively reduced whereas in the latter case, the structure pierces the wave free surface and gains stiffness and stability. The other important element that affects the movement of the platform is depth of the sea in which the wind turbine will be installed. Furthermore, the wildlife biology component evaluated migratory patterns by different monitoring systems consisting of marine radar, thermal IR camera and acoustic recorders. The types of radar used in the project are weather surveillance radar and marine radar. The weather surveillance radar (1988 Doppler), also known as Next Generation Radar (NEXRAD), provides a network of weather stations in the US. Data generated from this network were used to understand general migratory patterns, migratory stopover habitats, and other patterns caused by the effects of weather conditions. At a local scale our marine radar was used to complement the datasets from NEXRAD and to collect additional monitoring parameters such as passage rates, flight paths, flight directi

  9. Dedicated to Sharing Information About Water Management and the Florida LAKEWATCH Program Volume 57 (2012) Long-Term Weather Patterns,

    E-Print Network [OSTI]

    Watson, Craig A.

    2012-01-01T23:59:59.000Z

    levels. Therefore, excessive pumping of ground water can at times bring local shallow lake levels down throughout Marion County, have caused officials to warn of potential problems at area boat ramps. Published on Newnans Lake Low water levels and heat have resulted in the deaths of thousands of fish on Newnans Lake

  10. Small Drains, Big Problems: The Impact of Dry Weather Runoff on Shoreline Water Quality at Enclosed Beaches

    E-Print Network [OSTI]

    AghaKouchak, Amir

    . In this paper we present field measurements and modeling studies aimed at evaluating the impact of small storm is minimal and human contact likely. Outdoor water conservation and urban retrofits that minimize the volume beach water quality in Newport Bay and other urban-impacted enclosed beaches. INTRODUCTION Enclosed

  11. Wind Wave Float

    Broader source: Energy.gov (indexed) [DOE]

    Water Power Peer Review WindWaveFloat Alla Weinstein Principle Power, Inc. aweinstein@principlepowerinc.com November 1, 2011 2 | Wind and Water Power Program eere.energy.gov...

  12. Weatherization Training for South Carolina's Muggy Weather

    Broader source: Energy.gov [DOE]

    Why it makes sense for one technical college in Charleston, South Carolina is adding weatherization programs to their curriculum.

  13. Cathy Zoi on Weatherization

    ScienceCinema (OSTI)

    Zoi, Cath

    2013-05-29T23:59:59.000Z

    Right now, the Weatherization Assistance Program is now weatherizing 25,000 homes each month. So far 10,000 jobs have been created under the Recovery Act.

  14. Cathy Zoi on Weatherization

    Broader source: Energy.gov [DOE]

    The Weatherization Assistance Program is now weatherizing 25,000 homes each month. So far 10,000 jobs have been created under the Recovery Act.

  15. The Effect of Weathering on the Flammability of a Slick of Crude Oil on a Water Bed 

    E-Print Network [OSTI]

    Wu, Neil; Kolb, Gilles; Torero, Jose L

    2000-01-01T23:59:59.000Z

    An experimental study to define a practical methodology that will serve to assess the burning of crude oils on a water sub-layer by means of a bench scale procedure is presented. A modified ASTM-E1321 (LIFT) is combined with flash point...

  16. U.S. Department of Energy Wind and Water Power Program Funding...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Project Description The University of Texas-Austin assessed the potential of offshore wind farms to cause electromagnetic or acoustic interference of electronic detection,...

  17. U.S. Department of Energy Wind and Water Power Program Funding...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Yield Improvement, Load Mitigation and Stabilization 4,594,933 FY11: U.S. Offshore Wind: Technology Development FOA Virginia Project Description Alstom Power is developing an...

  18. U.S. Department of Energy Wind and Water Power Program Funding...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    is assessing the likely impact of offshore wind development in the various regions of the U.S. from the electric utility perspective. This work includes developing energy...

  19. WIND POWER PROGRAM WIND PROGRAM ACCOMPLISHMENTS U.S. Department...

    Office of Environmental Management (EM)

    capturing more wind than ever before through the installation of innovative offshore wind turbines and systems in U.S. waters, the Atmosphere to Electrons initiative which...

  20. air-lift water-pumping wind-turbines: Topics by E-print Network

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Kongens Lyngby 2012 IMM-MSc-2012-65 12;Summary Wind turbines are the biggest part of the green energy industry. Increasing interest control strategies. Control strategy has a...

  1. Wind resource and site assessment in the German Bight: Extreme Winds at Meso-to Microscale

    E-Print Network [OSTI]

    Heinemann, Detlev

    in the offshore wind farms. In the following, the validated Weather Research and Forecast (WRF) model simulations resolution which resolves sites of the individual offshore wind farms. In addition, the FINO-1 measurements of offshore wind farms, where in-situ measurements are scarce and expensive, the validated mesoscale wind

  2. Cost of Offshore Wind Energy Charlene Nalubega

    E-Print Network [OSTI]

    Mountziaris, T. J.

    water as well as on land based wind farms. The specific offshore wind energy case under consideration, most of the offshore wind farms are in Europe, which started being developed in the early 1990's Cost of Offshore Wind Energy

  3. Wind and Water Power Technologies FY'14 Budget At-a-Glance

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onYouTube YouTube Note: SinceDevelopment | Department ofPartnerships ToolkitWasteWho WillWind Programof Energy Wind 1

  4. WEATHER HAZARDS Basic Climatology

    E-Print Network [OSTI]

    Prediction Center (SPC) Watch Atmospheric conditions are right for hazardous weather ­ hazardous weather is likely to occur Issued by SPC Warning Hazardous weather is either imminent or occurring Issued by local NWS office #12;Outlooks--SPC Storm Prediction Center (SPC) Outlook=Convective Outlook Day 1 Day 2

  5. METEOROLOGICAL Weather and Forecasting

    E-Print Network [OSTI]

    AMERICAN METEOROLOGICAL SOCIETY Weather and Forecasting EARLY ONLINE RELEASE This is a preliminary and interpretation of information from National Weather Service watches and warnings by10 decision makers such an outlier to the regional severe weather climatology. An analysis of the synoptic and13 mesoscale

  6. Winter Weather Introduction

    E-Print Network [OSTI]

    Taylor, Jerry

    Winter Weather Management #12;Introduction · Campus Facilities Staff · Other Campus Organizations #12;Purpose · Organize and coordinate the campus response to winter weather events to maintain campus for use by 7 AM. · Response will be modified depending upon forecast and current weather conditions. #12

  7. Economic Benefits, Carbon Dioxide (CO2) Emissions Reductions, and Water Conservation Benefits from 1,000 Megawatts (MW) of New Wind Power in West Virginia (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2008-10-01T23:59:59.000Z

    The U.S. Department of Energy?s Wind Powering America Program is committed to educating state-level policymakers and other stakeholders about the economic, CO2 emissions, and water conservation impacts of wind power. This analysis highlights the expected impacts of 1000 MW of wind power in West Virginia. Although construction and operation of 1000 MW of wind power is a significant effort, six states have already reached the 1000-MW mark. We forecast the cumulative economic benefits from 1000 MW of development in West Virginia to be $1.0 billion, annual CO2 reductions are estimated at 3.3 million tons, and annual water savings are 1,763 million gallons.

  8. Economic Benefits, Carbon Dioxide (CO2) Emissions Reductions, and Water Conservation Benefits from 1,000 Megawatts (MW) of New Wind Power in Pennsylvania (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2008-10-01T23:59:59.000Z

    The U.S. Department of Energy?s Wind Powering America Program is committed to educating state-level policymakers and other stakeholders about the economic, CO2 emissions, and water conservation impacts of wind power. This analysis highlights the expected impacts of 1000 MW of wind power in Pennsylvania. Although construction and operation of 1000 MW of wind power is a significant effort, six states have already reached the 1000-MW mark. We forecast the cumulative economic benefits from 1000 MW of development in Pennsylvania to be $1.2 billion, annual CO2 reductions are estimated at 3.4 million tons, and annual water savings are 1,837 million gallons.

  9. Wind Resource Assessment of Gujarat (India)

    SciTech Connect (OSTI)

    Draxl, C.; Purkayastha, A.; Parker, Z.

    2014-07-01T23:59:59.000Z

    India is one of the largest wind energy markets in the world. In 1986 Gujarat was the first Indian state to install a wind power project. In February 2013, the installed wind capacity in Gujarat was 3,093 MW. Due to the uncertainty around existing wind energy assessments in India, this analysis uses the Weather Research and Forecasting (WRF) model to simulate the wind at current hub heights for one year to provide more precise estimates of wind resources in Gujarat. The WRF model allows for accurate simulations of winds near the surface and at heights important for wind energy purposes. While previous resource assessments published wind power density, we focus on average wind speeds, which can be converted to wind power densities by the user with methods of their choice. The wind resource estimates in this study show regions with average annual wind speeds of more than 8 m/s.

  10. Statewide Air Emissions Calculations From Wind and Other Renewables Summary Report Draft, a Report to the TCEQ for the Period Sept. 2005 - August 2006

    E-Print Network [OSTI]

    Haberl, J. S.; Culp, C.; Yazdani, B.; Subbarao, K.; Verdict, M.; Liu, Z.; Baltazar-Cervantes, J. C.; Gilman, D.; Fitzpatrick, T.; Turner, W. D.

    2006-10-25T23:59:59.000Z

    Taylor, 120MW, Buffalo Gap 2, 03/2007 29 Kenedy, 300MW, Gulf Wind, 07/2007 30 Culberson, 175MW, Delaware Mountain, 12/2007 31 Kenedy, 400MW, Penascal Wind Farm, 2007 32 Galveston, 150MW, Galveston Offshore Wind, 2010 SPP Region ? 161MW 33 Oldham... weather normalization procedure for a single wind turbine; ? proposed weather normalization procedure for a wind farm containing multiple wind turbines; ? testing of the models; ? weather data collection efforts, and ? proposed modifications...

  11. Advancements in Wind Integration Study Data Modeling: The Wind Integration National Dataset (WIND) Toolkit; Preprint

    SciTech Connect (OSTI)

    Draxl, C.; Hodge, B. M.; Orwig, K.; Jones, W.; Searight, K.; Getman, D.; Harrold, S.; McCaa, J.; Cline, J.; Clark, C.

    2013-10-01T23:59:59.000Z

    Regional wind integration studies in the United States require detailed wind power output data at many locations to perform simulations of how the power system will operate under high-penetration scenarios. The wind data sets that serve as inputs into the study must realistically reflect the ramping characteristics, spatial and temporal correlations, and capacity factors of the simulated wind plants, as well as be time synchronized with available load profiles. The Wind Integration National Dataset (WIND) Toolkit described in this paper fulfills these requirements. A wind resource dataset, wind power production time series, and simulated forecasts from a numerical weather prediction model run on a nationwide 2-km grid at 5-min resolution will be made publicly available for more than 110,000 onshore and offshore wind power production sites.

  12. Coral Radiocarbon Records of Indian Ocean Water Mass Mixing and Wind-Induced Upwelling Along the Coast of Sumatra, Indonesia

    SciTech Connect (OSTI)

    Guilderson, T P; Grumet, N S; Abram, N J; Beck, J W; Dunbar, R B; Gagan, M K; Hantoro, W S; Suwargadi, B W

    2004-02-06T23:59:59.000Z

    Radiocarbon ({sup 14}C) in the skeletal aragonite of annually banded corals track radiocarbon concentrations in dissolved inorganic carbon (DIC) in surface seawater. As a result of nuclear weapons testing in the 1950s, oceanic uptake of excess {sup 14}C in the atmosphere has increased the contrast between surface and deep ocean {sup 14}C concentrations. We present accelerator mass spectrometric (AMS) measurements of radiocarbon isotope ({Delta}{sup 14}C) in Porites corals from the Mentawai Islands, Sumatra (0 S, 98 E) and Watamu, Kenya (3 S, 39 E) to document the temporal and spatial evolution of the {sup 14}C gradient in the tropical Indian Ocean. The rise in {Delta}{sup 14}C in the Sumatra coral, in response to the maximum in nuclear weapons testing, is delayed by 2-3 years relative to the rise in coral {Delta}{sup 14}C from the coast of Kenya. Kenya coral {Delta}{sup 14}C values rise quickly because surface waters are in prolonged contact with the atmosphere. In contrast, wind-induced upwelling and rapid mixing along the coast of Sumatra entrains {sup 14}C-depleted water from the subsurface, which dilutes the effect of the uptake of bomb-laden {sup 14}C by the surface-ocean. Bimonthly AMS {Delta}{sup 14}C measurements on the Mentawai coral reveal mainly interannual variability with minor seasonal variability. The interannual signal may be a response to changes in the Walker circulation, the development of easterly wind anomalies, shoaling of the eastern thermocline, and upwelling of {sup 14}C-depleted water along the coast of Sumatra. Singular spectrum analysis of the Sumatra coral {Delta}{sup 14}C record reveals a significant 3-year periodicity. The results lend support to the concept that ocean atmosphere interactions between the Pacific and Indian Oceans operate in concert with the El Ni{tilde n}o-Southern Oscillation (ENSO).

  13. Geometric Numerical Methods for Numerical Weather Prediction

    E-Print Network [OSTI]

    Langdon, Stephen

    -Mesh (HPM) Method · Label space is discretised into N particles with coordinates on the momentum phase space and Sij = (1 - ^2xx)-1. Geometric Numerical Methods for Numerical Weather Prediction ­ p. 8/28 #12;HPM Equations of shallow water motions · The canonical HPM equations of 1D shallow water motion on TS1 are P

  14. U.S. Department of Energy Wind and Water Power Program Funding...

    Energy Savers [EERE]

    Research Institute Assessment of the Environmental Effects of Hydrokinetic Turbines on Fish: Desktop and Laboratory Flume Studies 597,408 FY09 Advanced Water Power FOA California...

  15. Wind and Water Power Technologies FY'14 Budget At-a-Glance | Department of

    Broader source: Energy.gov (indexed) [DOE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilA group currentBradley NickellApril 16, 2008 TBD-0075 -In17,InEnergy Wind and

  16. The Future of Offshore Wind Energy

    E-Print Network [OSTI]

    Firestone, Jeremy

    1 The Future of Offshore Wind Energy #12;2 #12;3 Offshore Wind Works · Offshore wind parks: 28 in 10 countries · Operational since 1991 · Current installed capacity: 1,250 MW · Offshore wind parks in the waters around Europe #12;4 US Offshore Wind Projects Proposed Atlantic Ocean Gulf of Mexico Cape Wind

  17. Wind energy applications guide

    SciTech Connect (OSTI)

    anon.

    2001-01-01T23:59:59.000Z

    The brochure is an introduction to various wind power applications for locations with underdeveloped transmission systems, from remote water pumping to village electrification. It includes an introductory section on wind energy, including wind power basics and system components and then provides examples of applications, including water pumping, stand-alone systems for home and business, systems for community centers, schools, and health clinics, and examples in the industrial area. There is also a page of contacts, plus two specific example applications for a wind-diesel system for a remote station in Antarctica and one on wind-diesel village electrification in Russia.

  18. USAGE OF RADARS FOR WIND ENERGY APPICATIONS Determine the benefit of using radar observations for wind energy applications by

    E-Print Network [OSTI]

    USAGE OF RADARS FOR WIND ENERGY APPICATIONS TASK: Determine the benefit of using radar observations for wind energy applications by analyzing i) the resolution effects and ii) sensitivity effects of weather radar systems. MOTIVATION: Wind energy applications strongly focus high-resolution wind observations

  19. Control of Regional and Global Weather

    E-Print Network [OSTI]

    Alexander Bolonkin

    2007-01-09T23:59:59.000Z

    Author suggests and researches a new revolutionary idea for regional and global weather control. He offers to cover cities, bad regions of country, full country or a continent by a thin closed film with control clarity located at a top limit of the Earth troposphere (4 - 6 km). The film is supported at altitude by small additional atmospheric pressure and connected to ground by thin cables. It is known, the troposphere defines the Earth weather. Authors show this closed dome allows to do a full control of the weather in a given region (the day is always fine, the rain is only in night, no strong wind). The average Earth (white cloudy) reflectance equal 0.3 - 0.5. That means the Earth losses about 0.3 - 0.5 of a solar energy. The dome controls the clarity of film and converts the cold regions to subtropics and creates the hot deserts, desolate wildernesses to the prosperous regions with temperate climate. That is a realistic and the cheapest method of the weather control in the Earth at the current time. Key words: Global weather control, gigantic film dome, converting a cold region to subtropics, converting desolate wilderness to a prosperous region.

  20. Home Weatherization Visit

    ScienceCinema (OSTI)

    Chu, Steven

    2013-05-29T23:59:59.000Z

    Secretary Steven Chu visits a home that is in the process of being weatherized in Columbus, OH, along with Ohio Governor Ted Strickland and Columbus Mayor Michael Coleman. They discuss the benefits of weatherization and how funding from the recovery act is having a direct impact in communities across America.

  1. After the Wind Storm 

    E-Print Network [OSTI]

    Unknown

    2011-09-05T23:59:59.000Z

    Solar and wind power can be economical and environmentally friendly ways to pump water for homes, irrigation and/or livestock water wells. This publication explains how these pumps work, the advantages and disadvantages of using renewable energy...

  2. Today's Space Weather Space Weather Case Studies

    E-Print Network [OSTI]

    ], and grounding is difficult Hydro-Quebec's power grid is, within 90-sec of storm onset interference was thought to be due to Russian radio jamming ! GOES weather satellites, knocked out Power outage lasted 9-hours #12;What We Focus on Regarding This Storm: Power Grids

  3. Wind Electrolysis: Hydrogen Cost Optimization

    SciTech Connect (OSTI)

    Saur, G.; Ramsden, T.

    2011-05-01T23:59:59.000Z

    This report describes a hydrogen production cost analysis of a collection of optimized central wind based water electrolysis production facilities. The basic modeled wind electrolysis facility includes a number of low temperature electrolyzers and a co-located wind farm encompassing a number of 3MW wind turbines that provide electricity for the electrolyzer units.

  4. New Research Facility to Remove Hurdles to Offshore Wind and...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Research Facility to Remove Hurdles to Offshore Wind and Water Power Development New Research Facility to Remove Hurdles to Offshore Wind and Water Power Development January 10,...

  5. How Climate Change is Playing Out in Minnesota: Extreme Weather

    E-Print Network [OSTI]

    Minnesota, University of

    How Climate Change is Playing Out in Minnesota: Extreme Weather Dr. Mark Seeley Dept of Soil, Water Climate Headlines Data Sources Changing Minnesota Climate Features Climate Consequences Implications for Severe Weather #12;Three Reasons to Accept That Climate Change is Real #12;#12;Stationary (1) Cyclical (2

  6. Wind Program Newsletter: October 2014 Edition (Newsletter)

    SciTech Connect (OSTI)

    Not Available

    2014-10-01T23:59:59.000Z

    The U.S. Department of Energy's Wind Program Newsletter, supported by the EERE Wind and Water Power Technologies office, highlights the Wind Program's key activities, events, and funding opportunities.

  7. Conventional Hydropower Technologies, Wind And Water Power Program (WWPP) (Fact Sheet)

    Broader source: Energy.gov (indexed) [DOE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy China U.S. DepartmentEnergy This partAs theFebruary09Contractor(DOE's) Water Power

  8. Weatherizing Wilkes-Barre

    ScienceCinema (OSTI)

    Calore, Joe

    2013-05-29T23:59:59.000Z

    Ride along with some weatherizers in Wilkes-Barre, PA, as they blower door test, manage z-doors, and dense pack their way to an energy efficient future one house at a time.

  9. Weatherizing Wilkes-Barre

    Broader source: Energy.gov [DOE]

    Ride along with some weatherizers in Wilkes-Barre, PA, as they blower door test, manage z-doors, and dense pack their way to an energy efficient future one house at a time.

  10. Estimating the Wind Resource in Uttarakhand: Comparison of Dynamic Downscaling with Doppler Lidar Wind Measurements

    SciTech Connect (OSTI)

    Lundquist, J. K.; Pukayastha, A.; St. Martin, C.; Newsom, R.

    2014-03-01T23:59:59.000Z

    Previous estimates of the wind resources in Uttarakhand, India, suggest minimal wind resources in this region. To explore whether or not the complex terrain in fact provides localized regions of wind resource, the authors of this study employed a dynamic down scaling method with the Weather Research and Forecasting model, providing detailed estimates of winds at approximately 1 km resolution in the finest nested simulation.

  11. Validation of Power Output for the WIND Toolkit

    SciTech Connect (OSTI)

    King, J.; Clifton, A.; Hodge, B. M.

    2014-09-01T23:59:59.000Z

    Renewable energy integration studies require wind data sets of high quality with realistic representations of the variability, ramping characteristics, and forecast performance for current wind power plants. The Wind Integration National Data Set (WIND) Toolkit is meant to be an update for and expansion of the original data sets created for the weather years from 2004 through 2006 during the Western Wind and Solar Integration Study and the Eastern Wind Integration Study. The WIND Toolkit expands these data sets to include the entire continental United States, increasing the total number of sites represented, and it includes the weather years from 2007 through 2012. In addition, the WIND Toolkit has a finer resolution for both the temporal and geographic dimensions. Three separate data sets will be created: a meteorological data set, a wind power data set, and a forecast data set. This report describes the validation of the wind power data set.

  12. ach year across the US, mesoscale weather events--flash floods, tornadoes, hail,

    E-Print Network [OSTI]

    Plale, Beth

    E ach year across the US, mesoscale weather events--flash floods, tornadoes, hail, strong winds of mesoscale weather research; its disparate, high-volume data sets and streams; or the tremendous urgent need for a comprehensive national cyberinfrastructure in mesoscale meteorology--particularly one

  13. Synoptic and local influences on boundary layer processes, with an application to California wind power

    E-Print Network [OSTI]

    Mansbach, David K.

    2010-01-01T23:59:59.000Z

    of observed summertime mesoscale pressure gradient and ??observed wind speeds and mesoscale SLP di?erences at pointsand modi?cation of mesoscale circulations. Monthly Weather

  14. Shallow Water Offshore Wind Optimization for the Great Lakes (DE-FOA-0000415) Final Report: A Conceptual Design for Wind Energy in the Great Lakes

    SciTech Connect (OSTI)

    Wissemann, Chris [Freshwater Wind I, LLC] [Freshwater Wind I, LLC; White, Stanley M [Stanley White Engineering LLC] [Stanley White Engineering LLC

    2014-02-28T23:59:59.000Z

    The primary objective of the project was to develop a innovative Gravity Base Foundation (GBF) concepts, including fabrication yards, launching systems and installation equipment, for a 500MW utility scale project in the Great Lakes (Lake Erie). The goal was to lower the LCOE by 25%. The project was the first to investigate an offshore wind project in the Great Lakes and it has furthered the body of knowledge for foundations and installation methods within Lake Erie. The project collected historical geotechnical information for Lake Erie and also used recently obtained data from the LEEDCo Icebreaker Project (FOA DE-EE0005989) geotechnical program to develop the conceptual designs. Using these data-sets, the project developed design wind and wave conditions from actual buoy data in order to develop a concept that would de-risk a project using a GBF. These wind and wave conditions were then utilized to create reference designs for various foundations specific to installation in Lake Erie. A project partner on the project (Weeks Marine) provided input for construction and costing the GBF fabrication and installation. By having a marine contractor with experience with large marine projects as part of the team provides credibility to the LCOE developed by NREL. NREL then utilized the design and construction costing information as part of the LCOE model. The report summarizes the findings of the project. • Developed a cost model and “baseline” LCOE • Documented Site Conditions within Lake Erie • Developed Fabrication, Installation and Foundations Innovative Concept Designs • Evaluated LCOE Impact of Innovations • Developed Assembly line “Rail System” for GBF Construction and Staging • Developed Transit-Inspired Foundation Designs which incorporated: Semi-Floating Transit with Supplemental Pontoons Barge mounted Winch System • Developed GBF with “Penetration Skirt” • Developed Integrated GBF with Turbine Tower • Developed Turbine, Plant Layout and O&M Strategies The report details lowering LCOE by 22.3% and identified additional strategies that could further lower LCOE when building an utility scale wind farm in the Great Lakes.

  15. Numerical Prediction of High-Impact Local Weather: A

    E-Print Network [OSTI]

    Xue, Ming

    Chapter 6 Numerical Prediction of High-Impact Local Weather: A Driver for Petascale Computing Ming winds, lightning, hurricanes and winter storms, cause hundreds of deaths and average annual economic of mitigating the impacts of such events on the economy and society is obvious, our ability to do so

  16. New Report Shows Trend Toward Larger Offshore Wind Systems, with 11 Advanced Stage Projects Proposed in U.S. Waters

    Broader source: Energy.gov [DOE]

    The Energy Department today released a new report showing progress for the U.S. offshore wind energy market in 2012, including the completion of two commercial lease auctions for federal Wind Energy Areas and 11 commercial-scale U.S. projects repre

  17. Hard Bottom Substrate Monitoring Horns Rev Offshore Wind Farm

    E-Print Network [OSTI]

    #12;Hard Bottom Substrate Monitoring Horns Rev Offshore Wind Farm 2004 Survey Report No. 1 March protection and at the wind turbine towers at six turbine sites. Video recordings were planned at different- scription. 2. Methodology Weather and wind conditions as well as hydrographical data such as current

  18. Survey and Analysis of Weather Data for Building Energy Simulations

    SciTech Connect (OSTI)

    Bhandari, Mahabir S [ORNL; Shrestha, Som S [ORNL; New, Joshua Ryan [ORNL

    2012-01-01T23:59:59.000Z

    In recent years, calibrated energy modeling of residential and commercial buildings has gained importance in a retrofit-dominated market. Accurate weather data plays an important role in this calibration process and projected energy savings. It would be ideal to measure weather data at the building location to capture relevant microclimate variation but this is generally considered cost-prohibitive. There are data sources publicly available with high temporal sampling rates but at relatively poor geospatial sampling locations. To overcome this limitation, there are a growing number of service providers that claim to provide real time and historical weather data for 20-35 km2 grid across the globe. Unfortunately, there is limited documentation from 3rd-party sources attesting to the accuracy of this data. This paper compares provided weather characteristics with data collected from a weather station inaccessible to the service providers. Monthly average dry bulb temperature; relative humidity; direct, diffuse and horizontal solar radiation; and wind speed are statistically compared. Moreover, we ascertain the relative contributions of each weather variable and its impact on building loads. Annual simulations are calculated for three different building types, including a closely monitored and automated energy efficient research building. The comparison shows that the difference for an individual variable can be as high as 90%. In addition, annual building energy consumption can vary by 7% while monthly building loads can vary by 40% as a function of the provided location s weather data.

  19. Development of a Detailed Simulation Model to Support Evaluation of Water Load Shifting Across a Range of Use Patterns

    E-Print Network [OSTI]

    Samuel, A.; Tuohy, P.

    2014-01-01T23:59:59.000Z

    ). DHWcalc: Program to generate domestic hot water profiles with statistical means for user defined conditions. Proc. ISES Solar World Congress 2005, Orlando, USA. Lorenzetti, D. M. 2002. Computational Aspects of Nodal Multizone Airflow Systems... Optimum demand matched Weather: Based on monitored conditions Renewables: Wind Solar thermal Bio-mass Loads available for shifting: Hot water tank Space heating Plug loads Refrigeration Laundry Load shifting (Orchestration) function: input power...

  20. Intelligent weather agent for aircraft severe weather avoidance

    E-Print Network [OSTI]

    Bokadia, Sangeeta

    2002-01-01T23:59:59.000Z

    Severe weather conditions pose a large threat to the safety of aircraft, since they are responsible for a large percentage of aviation related accidents. With the advent of the free flight environment, the exigency for an autonomous severe weather...

  1. Wind Energy Benefits, Wind Powering America (WPA) (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2011-04-01T23:59:59.000Z

    This fact sheet outlines the top 10 benefits of wind energy, including cost, water savings, job creation, indigenous resource, and low operating costs.

  2. Improved diagnostic model for estimating wind energy

    SciTech Connect (OSTI)

    Endlich, R.M.; Lee, J.D.

    1983-03-01T23:59:59.000Z

    Because wind data are available only at scattered locations, a quantitative method is needed to estimate the wind resource at specific sites where wind energy generation may be economically feasible. This report describes a computer model that makes such estimates. The model uses standard weather reports and terrain heights in deriving wind estimates; the method of computation has been changed from what has been used previously. The performance of the current model is compared with that of the earlier version at three sites; estimates of wind energy at four new sites are also presented.

  3. Analysis of Wind Power Generation of Texas

    E-Print Network [OSTI]

    Liu, Z.; Haberl, J.; Subbarao, K.; Baltazar, J. C.

    from Jul 2002 to Jan 2003 Degradation Analysis - On average, no degradation observed for nine wind farms analyzed over 4-year period. Application of Method 1 to New Site- Sweetwater I Wind Farm ? Energy Systems Laboratory, Texas A&M University Page 3...&M University Page 10 Weather Data: NOAA- ABI 1999 and 2005 Hourly Wind Speed NOAA -ABI Hourly Wind Speed -1999 0 10 20 30 40 Jan-99 Feb-99 M ar-99 Apr-99 M ay-99 Jun-99 Jul-99 Aug-99 Sep-99 Oct-99 Nov-99 Dec-99 W in d Spe ed [m ph ] NOAA -ABI Hourly Wind...

  4. Weather Regime Prediction Using Statistical Learning

    E-Print Network [OSTI]

    A. Deloncle; R. Berk; F. D'Andrea; M. Ghil

    2011-01-01T23:59:59.000Z

    and B. Legras, 1995: Weather regimes: Recurrence and quasi10952. Molteni, F. , 2002: Weather regimes and multipleK. Ide, and M. Ghil, 2004: Weather regimes and preferred

  5. DOE-DOI Strategy Seeks to Harness U.S. Offshore Wind Energy Potential...

    Broader source: Energy.gov (indexed) [DOE]

    offshore wind power in U.S. waters, a major step in harnessing the nation's offshore wind potential. Generating electricity from offshore wind yields multiple benefits for the...

  6. accelerated weathering: Topics by E-print Network

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Winter Weather Safety www.weather.gov SnowIce Blizzards Flooding Cold Temperatures 12;Building a Weather 5 Weather Theory Weather Reports, Forcasts and...

  7. Portland Diversifying Weatherization Workforce

    Broader source: Energy.gov [DOE]

    An agreement signed by a diverse group of stakeholders ensures that those in disadvantaged communities have access to some of the weatherization jobs stemming from the pilot phase of the Clean Energy Works Portland program, which has almost 500 homes receiving retrofits through the summer with the help of federal dollars.

  8. Wind Energy Benefits (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2015-01-01T23:59:59.000Z

    This fact sheet outlines the top 10 benefits of wind energy, including cost, water savings, job creation, indigenous resource, and low operating costs.

  9. Nagoya University Guidelines for Weather Disaster Prevention (Approved by Executive Board, August 9, 2010)

    E-Print Network [OSTI]

    Takahashi, Ryo

    to use the internet, radio and television to find out information about any weather warnings. (Handling the strong wind warning has been lifted, as outlined in the Appendix. (Procedures for Students) Article 6 until the warning has been lifted. 3. Should a warning other than a strong wind warning be issued which

  10. QUANTIFICATION OF WEATHERING Robert Hack

    E-Print Network [OSTI]

    Hack, Robert

    sandstone, limestone and dolomites, slates, shales, and in- Weathering and especially future weathering 40 60 80 H slate medium H slate v.thin H slate tick lam. Tg21 thick Tg21 medium Tg21 thin Tg21 v

  11. WIND ENERGY Wind Energ. (2014)

    E-Print Network [OSTI]

    Peinke, Joachim

    2014-01-01T23:59:59.000Z

    loads from the wind inflow through rotor aerodynamics, drive train and power electronics is stillWIND ENERGY Wind Energ. (2014) Published online in Wiley Online Library (wileyonlinelibrary wind inflow conditions M. R. Luhur, J. Peinke, J. Schneemann and M. Wächter ForWind-Center for Wind

  12. Road Weather and Transportation Systems

    E-Print Network [OSTI]

    Bertini, Robert L.

    Road Weather and Transportation Systems Rhonda Young, P.E., PhD Associate Professor Dept. of Civil & Arch. Engineering Portland State University April 18, 2014 #12;Engineering Perspective of Road Weather · How does weather impact transportation systems? · As engineers, is there anything we can do

  13. Model Predictive Control of a Wind Lars Christian Henriksen

    E-Print Network [OSTI]

    wind turbines is on the sea as their is a more stable wind. These water based wind farms are confined locations to become potential wind farms. This thesis investigates control of both wind turbines mountedModel Predictive Control of a Wind Turbine Lars Christian Henriksen Kongens Lyngby 2007 IMM

  14. Short-term Wind Power Forecasting Using Advanced Statistical T.S. Nielsen1

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    , in order to be able to absorb a large fraction of wind power in the electrical systems reliable short from refer- ence MET forecasts to the actual wind farm, wind farm power curve models, dynamical models of art wind power prediction system is outlined in Section 2. Numerical Weather Prediction (NWP

  15. Leveraging Resources for the Weatherization Innovation Pilot...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    the Weatherization Innovation Pilot Program (WIPP) - Webinar Transcript Leveraging Resources for the Weatherization Innovation Pilot Program (WIPP) - Webinar Transcript This...

  16. Leveraging Resources for Weatherization Innovation Pilot Projects...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Weatherization Innovation Pilot Projects (WIPP) Presentation Leveraging Resources for Weatherization Innovation Pilot Projects (WIPP) Presentation As a WIPP agency, reporting...

  17. Large Scale Weather Control Using Nuclear Reactors

    E-Print Network [OSTI]

    Singh-Modgil, M

    2002-01-01T23:59:59.000Z

    It is pointed out that controlled release of thermal energy from fission type nuclear reactors can be used to alter weather patterns over significantly large geographical regions. (1) Nuclear heat creates a low pressure region, which can be used to draw moist air from oceans, onto deserts. (2) Creation of low pressure zones over oceans using Nuclear heat can lead to Controlled Cyclone Creation (CCC).(3) Nuclear heat can also be used to melt glaciers and control water flow in rivers.

  18. Large Scale Weather Control Using Nuclear Reactors

    E-Print Network [OSTI]

    Moninder Singh Modgil

    2002-10-02T23:59:59.000Z

    It is pointed out that controlled release of thermal energy from fission type nuclear reactors can be used to alter weather patterns over significantly large geographical regions. (1) Nuclear heat creates a low pressure region, which can be used to draw moist air from oceans, onto deserts. (2) Creation of low pressure zones over oceans using Nuclear heat can lead to Controlled Cyclone Creation (CCC).(3) Nuclear heat can also be used to melt glaciers and control water flow in rivers.

  19. U.S. Department of Energy Wind and Water Power Program Funding in the United States: Conventional Hydropower Projects, FY 2008 Â… FY 2010

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual Siteof Energy 2, 2015 -Helicopter Accident at RatonU.S.Adoption ofWind and Water Power

  20. Coastal zone wind energy. Part I. Synoptic and mesoscale controls and distributions of coastal wind energy

    SciTech Connect (OSTI)

    Garstang, M.; Nnaji, S.; Pielke, R.A.; Gusdorf, J.; Lindsey, C.; Snow, J.W.

    1980-03-01T23:59:59.000Z

    This report describes a method of determining coastal wind energy resources. Climatological data and a mesoscale numerical model are used to delineate the available wind energy along the Atlantic and Gulf coasts of the United States. It is found that the spatial distribution of this energy is dependent on the locations of the observing sites in relation to the major synoptic weather features as well as the particular orientation of the coastline with respect to the large-scale wind.

  1. Wind Integration, Transmission, and Resource Assessment and Characterization Projects

    Broader source: Energy.gov [DOE]

    This report covers the Wind and Water Power Program’s Wind Integration, Transmission, and Resource Assessment and Characterization Projects from FY 2006 to FY 2014.

  2. Chemical weathering of granitic rock: experiments and Pb-Li isotopes tracing Romain Millot

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    is to better constrain the processes of water/rock interactions both in terms of source (dissolutionChemical weathering of granitic rock: experiments and Pb-Li isotopes tracing Romain Millot Philippe of weathering. In order to go further and to better characterize water/rock interactions, we performed

  3. Paper accepted for presentation at 2003 IEEE Bologna PowerTech Conference, June 23-26, Bologna, Italy Wind Power Forecasting using Fuzzy Neural Networks

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    , Italy Wind Power Forecasting using Fuzzy Neural Networks Enhanced with On-line Prediction Risk) as input, to predict the power production of wind park8 48 hours ahead. The prediction system integrates of the numerical weather predictions. Index Term-Wind power, short-term forecasting, numerical weather predictions

  4. Offshore Wind Power Farm Environmental Impact Assessment

    E-Print Network [OSTI]

    Horns Rev Offshore Wind Power Farm Environmental Impact Assessment on Water Quality #12;Prepared with a planned 150 MW offshore wind farm at Horns Rev, an assessment was made of the effects the wind farm would for the preparation of EIA studies for offshore wind farms." Horns Rev is situated off Blåvands Huk, which is Denmark

  5. Wet-Weather Flow Characterization for the Rock Creek through Monitoring and Modeling

    E-Print Network [OSTI]

    District of Columbia, University of the

    support of the following organizations: ­ DC Water Resources Research Institute ­ U.S. Geological Survey..................................................................16 Modeling of Urban Stormwater Management discharged to receiving waters demand that wet-weather flow control systems be planned and engineered

  6. Weathering the storm

    SciTech Connect (OSTI)

    Burr, M.T.

    1993-02-01T23:59:59.000Z

    When Hurricane Andrew struck, thousands were displaced from their homes in Florida and Louisiana. Now, months after the winds ceased blowing, the storm is causing hardship once again. Insurance companies sustaining large losses in recent months from a number of natural disasters - including the hurricane - are now passing those losses on to their customers. Independent power companies are no exception.

  7. METEOROLOGICAL Monthly Weather Review

    E-Print Network [OSTI]

    Miami, University of

    (reduced) in the CCE (LC). Less wind-driven kinetic energy was available to increase vertical shears PDF of the author-produced manuscript that has been peer-reviewed and accepted for publication. Since it is being posted so soon after acceptance, it has not yet been copyedited, formatted, or processed by AMS

  8. Weather data handbook for HVAC and cooling equipment design

    SciTech Connect (OSTI)

    Not Available

    1980-01-01T23:59:59.000Z

    Data included detailed tabulations of wet bulb temperature frequencies for the summer months, tabulations in multiple frequency for winter and summer conditions, various weather parameters useful in estimating performance for heat exchange equipment and other applications. Other data provided are: 12-month dry bulb temperatures and 12-month wet bulb temperatures vs relative humidity; combination of wet bulb temperatures, wind speed, and relative humidity; wind direction with high relative humidities; hourly observations for relative humidity 93% or greater; coincident high wet bulb and dry bulb temperature, seasonal cloud cover, and heat islands. (MHR)

  9. Commonwealth Wind Commercial Wind Program

    Broader source: Energy.gov [DOE]

    Through the Commonwealth Wind Incentive Program – Commercial Wind Initiative the Massachusetts Clean Energy Center (MassCEC) offers site assessment grants of services, feasibility study grants, a...

  10. Bishop Paiute Weatherization Training Program

    SciTech Connect (OSTI)

    Carlos Hernandez

    2010-01-28T23:59:59.000Z

    The DOE Weatherization Training Grant assisted Native American trainees in developing weatherization competencies, creating employment opportunities for Bishop Paiute tribal members in a growing field. The trainees completed all the necessary training and certification requirements and delivered high-quality weatherization services on the Bishop Paiute Reservation. Six tribal members received all three certifications for weatherization; four of the trainees are currently employed. The public benefit includes (1) development of marketable skills by low-income Native individuals, (2) employment for low-income Native individuals in a growing industry, and (3) economic development opportunities that were previously not available to these individuals or the Tribe.

  11. Weathering of Roofing Materials-An Overview

    E-Print Network [OSTI]

    Berdahl, Paul; Akbari, Hashem; Levinson, Ronnen; Miller, William A.

    2008-01-01T23:59:59.000Z

    by oxidation. b) Wind Wind exerts forces on roofing. Tallermore force. Since the kinetic energy of wind and the

  12. Strengthening America's Energy Security with Offshore Wind (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2012-02-01T23:59:59.000Z

    This fact sheet describes the current state of the offshore wind industry in the United States and the offshore wind research and development activities conducted the U.S. Department of Energy Wind and Water Power Program.

  13. An experimental and numerical study of wind turbine seismic behavior

    E-Print Network [OSTI]

    Prowell, I.

    2011-01-01T23:59:59.000Z

    Figure 1.1: White Water Wind Farm located near Palm Springs,testing at their active wind farm near Mojave, California.It is imperative that wind farms remain in operation

  14. Weatherization Apprenticeship Program

    SciTech Connect (OSTI)

    Watson, Eric J

    2012-12-18T23:59:59.000Z

    Weatherization improvement services will be provided to Native people by Native people. The proposed project will recruit, train and hire two full-time weatherization technicians who will improve the energy efficiency of homes of Alaska Natives/American Indians residing in the Indian areas, within the Cook Inlet Region of Alaska. The Region includes Anchorage as well as 8 small tribal villages: The Native Villages of Eklutna, Knik, Chickaloon, Seldovia, Ninilchik, Kenaitze, Salamatof, and Tyonek. This project will be a partnership between three entities, with Cook Inlet Tribal Council (CITC) as the lead agency: CITCA's Employment and Training Services Department, Cook Inlet Housing Authority and Alaska Works Partnership. Additionally, six of the eight tribal villages within the Cook Inlet Region of Alaska have agreed to work with the project in order to improve the energy efficiency of their tribally owned buildings and homes. The remaining three villages will be invited to participate in the establishment of an intertribal consortium through this project. Tribal homes and buildings within Anchorage fall under Cook Inlet Region, Inc. (CIRI) tribal authority.

  15. The wind power probability density forecast problem can be formulated as: forecast the wind power pdf at time step t for each look-ahead time step t+k of a given time-horizon

    E-Print Network [OSTI]

    Kemner, Ken

    The wind power probability density forecast problem can be formulated as: forecast the wind power ahead) knowing a set of explanatory variables (e.g. numerical weather predictions (NWPs), wind power measured values). Translating this sentence to an equation, we have: where pt+k is the wind power

  16. Hyde County- Wind Energy Facility Ordinance

    Broader source: Energy.gov [DOE]

    Hyde County, located in eastern North Carolina, adopted a wind ordinance in 2008 to regulate the use of wind energy facilities throughout the county, including waters within the boundaries of Hyde...

  17. artificial weathering environment: Topics by E-print Network

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Nation Winter Weather Hazards Winter Weather Safety www.weather.gov SnowIce Blizzards Flooding Cold Temperatures 12;Building a Weather 37 4....

  18. WIND ENERGY Wind Energ. (2014)

    E-Print Network [OSTI]

    2014-01-01T23:59:59.000Z

    in the near wake. In conclusion, WiTTS performs satisfactorily in the rotor region of wind turbine wakes under neutral stability. Copyright © 2014 John Wiley & Sons, Ltd. KEYWORDS wind turbine wake; wake model; self in wind farms along several rows and columns. Because wind turbines generate wakes that propagate downwind

  19. Upstream Measurements of Wind Profiles with Doppler Lidar for Improved Wind Energy Integration

    SciTech Connect (OSTI)

    Rodney Frehlich

    2012-10-30T23:59:59.000Z

    New upstream measurements of wind profiles over the altitude range of wind turbines will be produced using a scanning Doppler lidar. These long range high quality measurements will provide improved wind power forecasts for wind energy integration into the power grid. The main goal of the project is to develop the optimal Doppler lidar operating parameters and data processing algorithms for improved wind energy integration by enhancing the wind power forecasts in the 30 to 60 minute time frame, especially for the large wind power ramps. Currently, there is very little upstream data at large wind farms, especially accurate wind profiles over the full height of the turbine blades. The potential of scanning Doppler lidar will be determined by rigorous computer modeling and evaluation of actual Doppler lidar data from the WindTracer system produced by Lockheed Martin Coherent Technologies, Inc. of Louisville, Colorado. Various data products will be investigated for input into numerical weather prediction models and statistically based nowcasting algorithms. Successful implementation of the proposed research will provide the required information for a full cost benefit analysis of the improved forecasts of wind power for energy integration as well as the added benefit of high quality wind and turbulence information for optimal control of the wind turbines at large wind farms.

  20. Regional-seasonal weather forecasting

    SciTech Connect (OSTI)

    Abarbanel, H.; Foley, H.; MacDonald, G.; Rothaus, O.; Rudermann, M.; Vesecky, J.

    1980-08-01T23:59:59.000Z

    In the interest of allocating heating fuels optimally, the state-of-the-art for seasonal weather forecasting is reviewed. A model using an enormous data base of past weather data is contemplated to improve seasonal forecasts, but present skills do not make that practicable. 90 references. (PSB)

  1. SpaceWeather RESEARCH ARTICLE

    E-Print Network [OSTI]

    Lockwood, Mike

    ), The Solar Stormwatch CME catalogue: Results from the first space weather citizen science project, Space is properly cited. The Solar Stormwatch CME catalogue: Results from the first space weather citizen science citizen science project, the aim of which is to identify and track coronal mass ejections (CMEs) observed

  2. Horns RevHorns Rev Offshore Wind FarmOffshore Wind Farm

    E-Print Network [OSTI]

    Horns RevHorns Rev Offshore Wind FarmOffshore Wind Farm #12;Prepared for: ELSAM A/S, Overgade 45 to establish an offshore wind farm with an output of 150 MW in the waters of Horns Rev, approximately 15 km off to some environmental guidelines for offshore wind farms prepared by the Dani

  3. Wind resources and wind farm wake effects offshore observed from satellite

    E-Print Network [OSTI]

    Wind resources and wind farm wake effects offshore observed from satellite Charlotte Bay Hasager to quantify the wake effect at two large offshore wind farms in Denmark. It is found that the wake velocity further. There is fast progress on planning and installation of offshore wind farms in the European waters

  4. A Spatial Hedonic Analysis of the Effects of Wind Energy Facilities on Surrounding Property Values in the United States

    E-Print Network [OSTI]

    Hoen, Ben

    2014-01-01T23:59:59.000Z

    Energy Efficiency and Renewable Energy (Wind and Water PowerEnergy Efficiency and Renewable Energy Wind and Water PowerEnergy Efficiency and Renewable Energy (Wind and Water Power

  5. OUR FUTURE WITH WEATHER, CLIMATE AND WATER

    E-Print Network [OSTI]

    Stoffelen, Ad

    country, territory, city or area or of its authorities, or concerning the delimitation of its frontiers . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .....24 Energy and Climate . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .....28 Sustainable Cities

  6. Weatherization Formula Grants - American Recovery and Reinvestment...

    Energy Savers [EERE]

    Weatherization Formula Grants - American Recovery and Reinvestment Act (ARRA) Weatherization Formula Grants - American Recovery and Reinvestment Act (ARRA) U.S. Department of...

  7. New York: Weatherizing Westbeth Reduces Energy Consumption |...

    Energy Savers [EERE]

    New York: Weatherizing Westbeth Reduces Energy Consumption New York: Weatherizing Westbeth Reduces Energy Consumption August 21, 2013 - 12:00am Addthis The New York State Homes and...

  8. Tacoma Power- Residential Weatherization Rebate Program

    Broader source: Energy.gov [DOE]

    Tacoma Power helps residential customers increase the energy efficiency of homes through the utility's residential weatherization program. Weatherization upgrades to windows are eligible for an...

  9. Solar Water Heating Webinar | Department of Energy

    Broader source: Energy.gov (indexed) [DOE]

    Weatherization Assistance Program Pilot Projects Solar Water Heating Webinar Solar Water Heating Webinar Watch a recording of National Renewable Energy Laboratory (NREL)...

  10. Water and Energy | Argonne National Laboratory

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Water and Energy Agricultural irrigation system Agricultural irrigation system The world's water systems are undergoing significant stress. Extreme events and changing weather...

  11. Validation of QuikSCAT wind vectors by dropwindsonde data from Dropwindsonde Observations for Typhoon Surveillance

    E-Print Network [OSTI]

    Majumdar, Sharan

    of winds of hurricane force (32.9 m sÀ1 ) in extratropical cyclones and marine weather over the open oceanValidation of QuikSCAT wind vectors by dropwindsonde data from Dropwindsonde Observations January 2010. [1] The accuracy of 10 m wind vectors derived from the QuikSCAT satellite near tropical

  12. Wind Farm

    Office of Energy Efficiency and Renewable Energy (EERE)

    The wind farm in Greensburg, Kansas, was completed in spring 2010, and consists of ten 1.25 megawatt (MW) wind turbines that supply enough electricity to power every house, business, and municipal...

  13. A Comparison of Platform Options for Deep-water Floating Offshore Vertical Axis Wind Turbines: An Initial Study.

    SciTech Connect (OSTI)

    Bull, Diana L; Fowler, Matthew; Goupee, Andrew

    2014-08-01T23:59:59.000Z

    This analysis utilizes a 5 - MW VAWT topside design envelope created by Sandia National Laborator ies to compare floating platform options fo r each turbine in the design space. The platform designs are based on two existing designs, the OC3 Hywind spar - buoy and Principal Power's WindFloat semi - submersible. These designs are scaled using Froude - scaling relationships to determine an appropriately sized spar - buoy and semi - submersible design for each topside. Both the physical size of the required platform as well as mooring configurations are considered. Results are compared with a comparable 5 - MW HAWT in order to identify potential differences in the platform and mooring sizing between the VAWT and HAWT . The study shows that there is potential for cost savings due to reduced platform size requirements for the VAWT.

  14. Wind Energy

    Broader source: Energy.gov [DOE]

    Presentation covers wind energy at the Federal Utility Partnership Working Group (FUPWG) meeting, held on November 18-19, 2009.

  15. WeatherMaker: Weather file conversion and evaluation

    SciTech Connect (OSTI)

    Balcomb, J.D.

    1999-07-01T23:59:59.000Z

    WeatherMaker is a weather-data utility for use with the ENERGY-10 design-tool computer program. The three main features are: Convert--Weather files can be converted from one format to another. For example, a TMY2 format file can be converted to an ENERGY-10 binary file that can be used in a simulation. This binary file can then be converted to a text format that allows it to be read and/or manipulated in WordPad or Excel. Evaluate--ENERGY-10 weather files can be studied in great detail. There are 8 graphical displays of the data that provide insight into the data, and a summary tables that presents results calculated from the hourly data. Adjust--Hourly temperature data can be adjusted starting with hourly data from a nearby TMY2 site. Dry-bulb and wet-bulb temperatures are adjusted up or down as required to match given monthly statistics. This feature can be used to generate weather files for any of 3,958 sites in the US where such monthly statistics are tabulated. The paper shows a variety of results, explains the methods used, and discusses the rationale for making the adjustments. It is anticipated that WeatherMaker will be released by the time of the ASES Solar 99 conference.

  16. Behaviour of lithium and its isotopes during weathering in1 the Mackenzie Basin, Canada2

    E-Print Network [OSTI]

    1 Behaviour of lithium and its isotopes during weathering in1 the Mackenzie Basin, Canada2 3 Romain and lithium concentrations found in the dissolved load of the Mackenzie rivers suggests31 that precipitation fluxes in the Mackenzie River Basin.40 41 Keywords: lithium isotopes, river waters, silicate weathering

  17. Airborne Wind Turbine

    SciTech Connect (OSTI)

    None

    2010-09-01T23:59:59.000Z

    Broad Funding Opportunity Announcement Project: Makani Power is developing an Airborne Wind Turbine (AWT) that eliminates 90% of the mass of a conventional wind turbine and accesses a stronger, more consistent wind at altitudes of near 1,000 feet. At these altitudes, 85% of the country can offer viable wind resources compared to only 15% accessible with current technology. Additionally, the Makani Power wing can be economically deployed in deep offshore waters, opening up a resource which is 4 times greater than the entire U.S. electrical generation capacity. Makani Power has demonstrated the core technology, including autonomous launch, land, and power generation with an 8 meter wingspan, 20 kW prototype. At commercial scale, Makani Power aims to develop a 600 kW, 28 meter wingspan product capable of delivering energy at an unsubsidized cost competitive with coal, the current benchmark for low-cost power.

  18. Arizona Foundation Expands Weatherization Training Center

    Broader source: Energy.gov [DOE]

    Read about one weatherization training center that's looking forward to an onslaught of new trainees.

  19. Low-Income Weatherization: The Human Dimension

    Broader source: Energy.gov [DOE]

    This presentation focuses on how the human dimension saves energy within low-income weatherization programs.

  20. Weatherization and Intergovernmental Program Success Stories

    Broader source: Energy.gov [DOE]

    Weatherization and Intergovernmental Programs Office (WIPO) success stories, news clips, and press releases.

  1. DETECTION OF A LARGE VARIATION IN THE DEGREE OF SPACE WEATHERING ON THE SURFACE OF ITOKAWA BY HAYABUSA/AMICA OBSERVATIONS. M. Ishiguro

    E-Print Network [OSTI]

    Hiroi, Takahiro

    of Space and Astronautical Science (ISAS), Japan Aerospace Exploration Agency (JAXA), Sagamihara, Kanagawa of micrometrorite and/or solar wind irradiation [1-3]. In the previous mission targets, the space-weathering effectDETECTION OF A LARGE VARIATION IN THE DEGREE OF SPACE WEATHERING ON THE SURFACE OF ITOKAWA

  2. 11march2007 Blowing in the wind

    E-Print Network [OSTI]

    Genton, Marc G.

    in Scotland, the largest in the USA is planned for southern California, and the biggest offshore wind farm in development) can take advantage of stronger ocean breezes. Just over 15 offshore wind farms are currently a planned 1000 MW at a capital cost of £2 bil- lion. Most offshore wind farms are located in water less than

  3. METEOROLOGICAL Monthly Weather Review

    E-Print Network [OSTI]

    Rutledge, Steven

    the lofting of supercooled water above the melting level, and an enhanced LDR "cap" above the column implied warm-cloud depths, increased ice mass observed just above the melting level, and a narrower with precipitation-sized ice extending to 15 km. In addition, the presence of ZDR columns in these cells indicated

  4. James TokishiJames Tokishi General term for any use of the wind to

    E-Print Network [OSTI]

    Prevedouros, Panos D.

    on environment #12;Offshore wind farms Stronger, steadier winds Wind Energizer Increases output of HAWT units common Wind farms Private turbines PumpingPumping Wind turbine powers water pump for drainage Levees Well Large startup costs, low maintenance costs Profitable wind farms exist, e.g. UK Low impact

  5. Solar cycle changes in coronal holes and space weather cycles J. G. Luhmann,1

    E-Print Network [OSTI]

    California at Berkeley, University of

    Solar cycle changes in coronal holes and space weather cycles J. G. Luhmann,1 Y. Li,1 C. N. Arge,2-heliolatitude solar wind over approximately the last three solar cycles. Related key parameters like interplanetary explain solar magnetic field control of long-term interplanetary variations. In particular, the enduring

  6. Sandia National Laboratories: Wind

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Wind Grid System Planning for Wind: Wind Generator Modeling On June 11, 2014, in Wind generation continues to dominate the interconnection queues and the need for generic,...

  7. FINAL REPORT WIND POWER WARM SPRINGS RESERVATION TRIBAL LANDS DOE GRANT NUMBER DE-FG36-07GO17077 SUBMITTED BY WARM SPRINGS POWER & WATER ENTERPRISES A CORPORATE ENTITY OF THE CONFEDERATED TRIBES OF WARM SPRINGS WARM SPRINGS, OREGON

    SciTech Connect (OSTI)

    Jim Manion; Michael Lofting; Wil Sando; Emily Leslie; Randy Goff

    2009-03-30T23:59:59.000Z

    Wind Generation Feasibility Warm Springs Power and Water Enterprises (WSPWE) is a corporate entity owned by the Confederated Tribes of the Warm Springs Reservation, located in central Oregon. The organization is responsible for managing electrical power generation facilities on tribal lands and, as part of its charter, has the responsibility to evaluate and develop renewable energy resources for the Confederated Tribes of Warm Springs. WSPWE recently completed a multi-year-year wind resource assessment of tribal lands, beginning with the installation of wind monitoring towers on the Mutton Mountains site in 2003, and collection of on-site wind data is ongoing. The study identified the Mutton Mountain site on the northeastern edge of the reservation as a site with sufficient wind resources to support a commercial power project estimated to generate over 226,000 MWh per year. Initial estimates indicate that the first phase of the project would be approximately 79.5 MW of installed capacity. This Phase 2 study expands and builds on the previously conducted Phase 1 Wind Resource Assessment, dated June 30, 2007. In order to fully assess the economic benefits that may accrue to the Tribes through wind energy development at Mutton Mountain, a planning-level opinion of probable cost was performed to define the costs associated with key design and construction aspects of the proposed project. This report defines the Mutton Mountain project costs and economics in sufficient detail to allow the Tribes to either build the project themselves or contract with a developer under the most favorable terms possible for the Tribes.

  8. Broken Bar Detection in Synchronous Machines Based Wind Energy Conversion System

    E-Print Network [OSTI]

    Rahimian, Mina Mashhadi

    2012-10-19T23:59:59.000Z

    at extremely high towers and therefore inaccessible. For offshore plants, bad weather can prevent any repair actions for several weeks. In some of the new wind turbines synchronous generators are used and directly connected to the grid without the need...

  9. The Potential for Wind Induced Ventilation to Meet Occupant Comfort Conditions

    E-Print Network [OSTI]

    Byrne, S. J.; Huang, Y. J.; Ritschard, R. L.; Foley, D. M.

    1985-01-01T23:59:59.000Z

    This paper describes a simple graphic tool that enables a building designer to evaluate the potential for wind induced ventilation cooling in several climate zones. Long term weather data were analyzed to determine the conditions for which available...

  10. Novel Use of Water Soluble "Aquapour" As A Temporary Spacer During Coil Winding For The NSTX-U Centerstack

    SciTech Connect (OSTI)

    Mardenfeld, Michael

    2013-07-01T23:59:59.000Z

    A major facility upgrade to the National Spherical Torus eXperiment (NSTX-U) is currently underway at Princeton Plasma Physics Laboratory (PPPL). A key component of NSTX-U is the fabrication of a new, higher field centerstack (CS). In order to simultaneously provide robust joints between the inner and outer legs of the Toroidal Field Coils (TF) and minimize radial build, the NSTX-U CS design requires that the Ohmic Heating solenoid (OH) be wound directly on the inner TF bundle. To protect the OH against thermal expansion stress during scenarios where the inner TF bundle is hot but the OH is relatively cool, the completed CS will have a 0.100 inch annular gap between the outer diameter of the TF bundle and the inner diameter of the OH solenoid. "Aquapour", a proprietary material produced by the Advanced Ceramics Manufacturing Company will be used during manufacture to produce this gap. After the TF bundle is vacuum pressure impregnated and cured, a cylindrical "clam shell" mold will be assembled around it, and a slurry of powdered Aquapour and water will be pumped into the annular space between the mold and TF bundle. Subsequent baking will turn the Aquapour solid, and a protective layer of wet lay-up fiberglass and resin will be added. The OH solenoid will be wound directly on this wet lay-up shell. After vacuum pressure impregnation of the OH, the water soluble Aquapour will be washed away, leaving the required radial clearance between the TF and OH. This paper will describe prototyping and testing of this process, and plans for use on the actual CS fabrication.

  11. Building a New Energy Future with Wind Power (Revised) (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2013-01-01T23:59:59.000Z

    This fact sheet provides an overview of the U.S. Department of Energy's Wind and Water Power Program's wind power research activities.

  12. Wind Energy Resource Assessment of the Caribbean and Central America

    SciTech Connect (OSTI)

    DL Elliott; CI Aspliden; GL Gower; CG Holladay, MN Schwartz

    1987-04-01T23:59:59.000Z

    A wind energy resource assessment of the Caribbean and Central America has identified many areas with good to outstanding wind resource potential for wind turbine applications. Annual average wind resource maps and summary tables have been developed for 35 island/country areas throughout the Caribbean and Central America region. The wind resource maps highlight the locations of major resource areas and provide estimates of the wind energy resource potential for typical well-exposed sites in these areas. The average energy in the wind flowing in the layer near the ground is expressed as a wind power class: the greater the average wind energy, the higher the wind power class. The summary tables that are included with each of the 35 island/country wind energy maps provide information on the frequency distribution of the wind speeds (expressed as estimates of the Weibull shape factor, k) and seasonal variations in the wind resource for the major wind resource areas identified on the maps. A new wind power class legend has been developed for relating the wind power classes to values of mean wind power density, mean wind speed, and Weibull k. Guidelines are presented on how to adjust these values to various heights above ground for different roughness and terrain characteristics. Information evaluated in preparing the assessment included existing meteorological data from airports and other weather stations, and from ships and buoys in offshore and coastal areas. In addition, new data from recent measurement sites established for wind energy siting studies were obtained for a few areas of the Caribbean. Other types of information evaluated in the assessment were climatological data and maps on winds aloft, surface pressure, air flow, and topography. The various data were screened and evaluated for their usefulness in preparing the wind resource assessment. Much of the surface data from airports and other land-based weather stations were determined to be from sheltered sites and were thus not very useful in assessing the wind resource at locations that are well exposed to the winds. Ship data were determined to be the most useful for estimating the large-scale wind flow and assessing the spatial distribution of the wind resource throughout the region. Techniques were developed for analyzing and correcting ship wind data and extrapolating these data to coastal and inland areas by considering terrain influences on the large-scale wind flow. In areas where extrapolation of ship wind data was not entirely feasible, such as interior areas of Central America, other techniques were developed for estimating the wind flow and distribution of the wind resource. Through the application of the various innovative techniques developed for assessing the wind resource throughout the Caribbean and Central America region, many areas with potentially good to outstanding wind resource were identified that had not been previously recognized. In areas where existing site data were available from exposed locations, the measured wind resource was compared with the estimated wind resource that was derived using the assessment techniques. In most cases, there was good agreement between the measured wind resource and the estimated wind resource. This assessment project supported activities being pursued by the U.S. Committee for Renewable Energy Commerce and Trade (CORECT), the U.S. government's interagency program to assist in overseas marketing and promote renewable energy exports. An overall goal of the program is to improve U.S. competitiveness in the world renewable energy market. The Caribbean and Central America assessment, which is the first of several possible follow-on international wind energy resource assessments, provides valuable information needed by the U.S. wind energy industry to identify suitable wind resource areas and concentrate their efforts on these areas.

  13. Guide to Using the WIND Toolkit Validation Code

    SciTech Connect (OSTI)

    Lieberman-Cribbin, W.; Draxl, C.; Clifton, A.

    2014-12-01T23:59:59.000Z

    In response to the U.S. Department of Energy's goal of using 20% wind energy by 2030, the Wind Integration National Dataset (WIND) Toolkit was created to provide information on wind speed, wind direction, temperature, surface air pressure, and air density on more than 126,000 locations across the United States from 2007 to 2013. The numerical weather prediction model output, gridded at 2-km and at a 5-minute resolution, was further converted to detail the wind power production time series of existing and potential wind facility sites. For users of the dataset it is important that the information presented in the WIND Toolkit is accurate and that errors are known, as then corrective steps can be taken. Therefore, we provide validation code written in R that will be made public to provide users with tools to validate data of their own locations. Validation is based on statistical analyses of wind speed, using error metrics such as bias, root-mean-square error, centered root-mean-square error, mean absolute error, and percent error. Plots of diurnal cycles, annual cycles, wind roses, histograms of wind speed, and quantile-quantile plots are created to visualize how well observational data compares to model data. Ideally, validation will confirm beneficial locations to utilize wind energy and encourage regional wind integration studies using the WIND Toolkit.

  14. Operational forecasting based on a modified Weather Research and Forecasting model

    SciTech Connect (OSTI)

    Lundquist, J; Glascoe, L; Obrecht, J

    2010-03-18T23:59:59.000Z

    Accurate short-term forecasts of wind resources are required for efficient wind farm operation and ultimately for the integration of large amounts of wind-generated power into electrical grids. Siemens Energy Inc. and Lawrence Livermore National Laboratory, with the University of Colorado at Boulder, are collaborating on the design of an operational forecasting system for large wind farms. The basis of the system is the numerical weather prediction tool, the Weather Research and Forecasting (WRF) model; large-eddy simulations and data assimilation approaches are used to refine and tailor the forecasting system. Representation of the atmospheric boundary layer is modified, based on high-resolution large-eddy simulations of the atmospheric boundary. These large-eddy simulations incorporate wake effects from upwind turbines on downwind turbines as well as represent complex atmospheric variability due to complex terrain and surface features as well as atmospheric stability. Real-time hub-height wind speed and other meteorological data streams from existing wind farms are incorporated into the modeling system to enable uncertainty quantification through probabilistic forecasts. A companion investigation has identified optimal boundary-layer physics options for low-level forecasts in complex terrain, toward employing decadal WRF simulations to anticipate large-scale changes in wind resource availability due to global climate change.

  15. Weather data for simplified energy calculation methods. Volume IV. United States: WYEC data

    SciTech Connect (OSTI)

    Olsen, A.R.; Moreno, S.; Deringer, J.; Watson, C.R.

    1984-08-01T23:59:59.000Z

    The objective of this report is to provide a source of weather data for direct use with a number of simplified energy calculation methods available today. Complete weather data for a number of cities in the United States are provided for use in the following methods: degree hour, modified degree hour, bin, modified bin, and variable degree day. This report contains sets of weather data for 23 cities using Weather Year for Energy Calculations (WYEC) source weather data. Considerable overlap is present in cities (21) covered by both the TRY and WYEC data. The weather data at each city has been summarized in a number of ways to provide differing levels of detail necessary for alternative simplified energy calculation methods. Weather variables summarized include dry bulb and wet bulb temperature, percent relative humidity, humidity ratio, wind speed, percent possible sunshine, percent diffuse solar radiation, total solar radiation on horizontal and vertical surfaces, and solar heat gain through standard DSA glass. Monthly and annual summaries, in some cases by time of day, are available. These summaries are produced in a series of nine computer generated tables.

  16. Features of a fully renewable US electricity system: Optimized mixes of wind and solar PV and transmission grid extensions

    E-Print Network [OSTI]

    Jacobson, Mark

    in order to follow the de- mand, wind and solar PV power output is largely determined by weather conditions Large-scale integration of renewable power generation Wind power generation Solar PV power generation Power transmission a b s t r a c t A future energy system is likely to rely heavily on wind and solar PV

  17. U.S. Department of Energy Weatherization Assistance Program Homes...

    Energy Savers [EERE]

    U.S. Department of Energy Weatherization Assistance Program Homes Weatherized By State through 06302010 (Calendar Year) U.S. Department of Energy Weatherization Assistance...

  18. A Multi-period Equilibrium Pricing Model of Weather Derivatives

    E-Print Network [OSTI]

    Lee, Yongheon; Oren, Shmuel S.

    2008-01-01T23:59:59.000Z

    2002). On modelling and pricing weather derivatives. Applied2003). Arbitrage-fee pricing of weather derivatives based onfects and valuation of weather derivatives. The Financial

  19. Weather-based yield forecasts developed for 12 California crops

    E-Print Network [OSTI]

    Lobell, David; Cahill, Kimberly Nicholas; Field, Christopher

    2006-01-01T23:59:59.000Z

    RESEARCH ARTICLE Weather-based yield forecasts developed fordepend largely on the weather, measurements from existingpredictions. We developed weather-based models of statewide

  20. Essays on Weather Indexed Insurance and Energy Use in Mexico

    E-Print Network [OSTI]

    Fuchs, Alan

    2011-01-01T23:59:59.000Z

    and O. Mahul, 2007. “Weather Index Insurance for Agricultureand J. Vickery, 2005. “Weather Insurance in Semi-AridBinswanger, 1993. “Wealth, Weather Risk and the Composition

  1. A multi-period equilibrium pricing model of weather derivatives

    E-Print Network [OSTI]

    Lee, Yongheon; Oren, Shmuel S.

    2010-01-01T23:59:59.000Z

    Y. : Valuation and hedging of weather derivatives on monthlyJ. Risk 31. Yoo, S. : Weather derivatives and seasonaleffects and valuation of weather derivatives. Financ. Rev.

  2. Identification of High Collision Concentration Locations Under Wet Weather Conditions

    E-Print Network [OSTI]

    Hwang, Taesung; Chung, Koohong; Ragland, David; Chan, Chin-Yao

    2008-01-01T23:59:59.000Z

    conducted under wet weather conditions. Observations fromLeahy, M. , and Suggett, J. Weather as a Chronic Hazard forLocations Under Wet Weather Conditions Taesung Hwang,

  3. Offshore Wind Power USA

    Broader source: Energy.gov [DOE]

    The Offshore Wind Power USA conference provides the latest offshore wind market updates and forecasts.

  4. 20% Wind Energy 20% Wind Energy

    E-Print Network [OSTI]

    Powell, Warren B.

    (government, industry, utilities, NGOs) Analyzes wind's potential contributions to energy security, economic · Transmission a challenge #12;Wind Power Class Resource Potential Wind Power Density at 50 m W/m 2 Wind Speed20% Wind Energy by 2030 20% Wind Energy by 2030 #12;Presentation and Objectives Overview Background

  5. Wind Energy Leasing Handbook

    E-Print Network [OSTI]

    Balasundaram, Balabhaskar "Baski"

    Wind Energy Leasing Handbook Wind Energy Leasing Handbook E-1033 Oklahoma Cooperative Extension?..................................................................................................................... 31 What do wind developers consider in locating wind energy projects?............................................................................................ 37 How do companies and individuals invest in wind energy projects?....................................................................

  6. Winter Weather FAQs | Argonne National Laboratory

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Winter Weather FAQs As Argonne prepares for the winter season, employees should be aware of the laboratory's procedures and policies in severe weather events. Below are some of the...

  7. Weather-Corrected Performance Ratio

    SciTech Connect (OSTI)

    Dierauf, T.; Growitz, A.; Kurtz, S.; Cruz, J. L. B.; Riley, E.; Hansen, C.

    2013-04-01T23:59:59.000Z

    Photovoltaic (PV) system performance depends on both the quality of the system and the weather. One simple way to communicate the system performance is to use the performance ratio (PR): the ratio of the electricity generated to the electricity that would have been generated if the plant consistently converted sunlight to electricity at the level expected from the DC nameplate rating. The annual system yield for flat-plate PV systems is estimated by the product of the annual insolation in the plane of the array, the nameplate rating of the system, and the PR, which provides an attractive way to estimate expected annual system yield. Unfortunately, the PR is, again, a function of both the PV system efficiency and the weather. If the PR is measured during the winter or during the summer, substantially different values may be obtained, making this metric insufficient to use as the basis for a performance guarantee when precise confidence intervals are required. This technical report defines a way to modify the PR calculation to neutralize biases that may be introduced by variations in the weather, while still reporting a PR that reflects the annual PR at that site given the project design and the project weather file. This resulting weather-corrected PR gives more consistent results throughout the year, enabling its use as a metric for performance guarantees while still retaining the familiarity this metric brings to the industry and the value of its use in predicting actual annual system yield. A testing protocol is also presented to illustrate the use of this new metric with the intent of providing a reference starting point for contractual content.

  8. Pantex receives National Weather Service recognition | National...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    receives National Weather Service recognition | National Nuclear Security Administration Facebook Twitter Youtube Flickr RSS People Mission Managing the Stockpile Preventing...

  9. Estimating long-term mean winds from short-term wind data

    SciTech Connect (OSTI)

    Barchet, W.R.; Davis, W.E.

    1983-08-01T23:59:59.000Z

    The estimation of long-term mean winds from short-term data is especially important in the area of wind energy. It is desirable to obtain reliable estimates of the long-term wind speed from as short a period of on-site measurements as possible. This study examined seven different methods of estimating the long-term average wind speed and compared the performance of these techniques. Three linear, three weather pattern, and one eigenvector methods were compared for measurement periods ranging from 3 months to 36 months. Average errors, both relative and absolute, and the rms errors in the techniques were determined. The best technique for less than 12 months of measurement was the eigenvector method using weekly mean wind speeds. However, this method was only slightly better than the linear adjusted method. When 12 or more months of data were used, the difference in errors between techniques was found to be slight.

  10. Karimar Ledesma Puerto Rico Weather Camp 2009

    E-Print Network [OSTI]

    Gilbes, Fernando

    Karimar Ledesma Puerto Rico Weather Camp 2009 Me llamo Karimar Ledesma Maldonado y soy una "Weather Camper 2009". Mi participación en el Puerto Rico Weather Camp fue lo que finalmente me convenció y motivo Física Teórica en adición a la certificación de meteorología en la Universidad de Puerto Rico en Mayagüez

  11. Internship opportunity with National Weather Service

    E-Print Network [OSTI]

    Internship opportunity with National Weather Service Pacific Regional Headquarters Fall 2008 deadline: August 8, 2008 The Pacific Region of the National Weather Service administers the programs and the general public. The Pacific Regional Headquarters of the National Weather Service, located in downtown

  12. Observations and simulations improve space weather models

    E-Print Network [OSTI]

    - 1 - Observations and simulations improve space weather models June 25, 2014 Los Alamos with fast-moving particles and a space weather system that varies in response to incoming energy computer simulations of the space weather that can affect vital technology, communication and navigation

  13. EnergyPlus Weather Data for use with EnergyPlus Simulation Software

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    EnergyPlus is simulation software from DOE's Office of Energy Efficiency and Renewable Energy (EE) that models heating, cooling, lighting, ventilating, and other energy flows as well as water in buildings. Because the environment surrounding any building is an important component of the energy choices that go into the building's design and the energy performance of that building thereafter, weather data from all parts of the world are made available through the EnergyPlus web site. The data are collected from more than 2100 locations — 1042 locations in the USA, 71 locations in Canada, and more than 1000 locations in 100 other countries throughout the world. The weather data are arranged by World Meteorological Organization region and Country. In addition to using the weather data via the utility installed automatically with EnergyPlus software, users may view and download EnergyPlus weather data directly using a weather data layer for Google Earth.

  14. Winding Trail 

    E-Print Network [OSTI]

    Unknown

    2011-09-05T23:59:59.000Z

    During the past decade, the demand for clean renewable energy continues to rise drastically in Europe, the US, and other countries. Wind energy in the ocean can possibly be one of those future renewable clean energy sources as long...

  15. Weather forecast-based optimization of integrated energy systems.

    SciTech Connect (OSTI)

    Zavala, V. M.; Constantinescu, E. M.; Krause, T.; Anitescu, M.

    2009-03-01T23:59:59.000Z

    In this work, we establish an on-line optimization framework to exploit detailed weather forecast information in the operation of integrated energy systems, such as buildings and photovoltaic/wind hybrid systems. We first discuss how the use of traditional reactive operation strategies that neglect the future evolution of the ambient conditions can translate in high operating costs. To overcome this problem, we propose the use of a supervisory dynamic optimization strategy that can lead to more proactive and cost-effective operations. The strategy is based on the solution of a receding-horizon stochastic dynamic optimization problem. This permits the direct incorporation of economic objectives, statistical forecast information, and operational constraints. To obtain the weather forecast information, we employ a state-of-the-art forecasting model initialized with real meteorological data. The statistical ambient information is obtained from a set of realizations generated by the weather model executed in an operational setting. We present proof-of-concept simulation studies to demonstrate that the proposed framework can lead to significant savings (more than 18% reduction) in operating costs.

  16. 200,000 homes weatherized under the Recovery Act

    Broader source: Energy.gov [DOE]

    Today Vice President Biden announced that the Weatherization Assistance Program has weatherized 200,000 homes under the Recovery Act.

  17. Water Power for a Clean Energy Future (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2011-06-01T23:59:59.000Z

    This fact sheet provides an overview of the Department of Energy's Wind and Water Power Program's water power research activities.

  18. Cheap Artificial AB-Mountains, Extraction of Water and Energy from Atmosphere and Change of Regional Climate

    E-Print Network [OSTI]

    Alexander Bolonkin

    2008-05-11T23:59:59.000Z

    Author suggests and researches a new revolutionary method for changing the climates of entire countries or portions thereof, obtaining huge amounts of cheap water and energy from the atmosphere. In this paper is presented the idea of cheap artificial inflatable mountains, which may cardinally change the climate of a large region or country. Additional benefits: The potential of tapping large amounts of fresh water and energy. The mountains are inflatable semi-cylindrical constructions from thin film (gas bags) having heights of up to 3 - 5 km. They are located perpendicular to the main wind direction. Encountering these artificial mountains, humid air (wind) rises to crest altitude, is cooled and produces rain (or rain clouds). Many natural mountains are sources of rivers, and other forms of water and power production - and artificial mountains may provide these services for entire nations in the future. The film of these gasbags is supported at altitude by small additional atmospheric overpressure and may be connected to the ground by thin cables. The author has shown (in previous works about the AB-Dome) that this closed AB-Dome allows full control of the weather inside the Dome (the day is always fine, the rain is only at night, no strong winds) and influence to given region. This is a realistic and cheap method of economical irrigation, getting energy and virtual weather control on Earth at the current time.

  19. Zonal wind oscillations over the western hemisphere during winter 

    E-Print Network [OSTI]

    Hundermark, Bruce William

    1991-01-01T23:59:59.000Z

    and the European Centre for Medium Range Weather Forecasts (ECMWF) 7-day forecast errors of the 500 mb height field over the western hemisphere. B. Literature Review Variations in the zonal wind were first studied in the extended forecasting project.... The energetics of the zonal wind have also been studied. Winston and Krueger (1961) investigated a large scale cycle of available potential energy in the Northern Hemisphere during a 2-week period during late December 1958 and early January 1959. A buildup...

  20. Weather data for simplified energy calculation methods. Volume II. Middle United States: TRY data

    SciTech Connect (OSTI)

    Olsen, A.R.; Moreno, S.; Deringer, J.; Watson, C.R.

    1984-08-01T23:59:59.000Z

    The objective of this report is to provide a source of weather data for direct use with a number of simplified energy calculation methods available today. Complete weather data for a number of cities in the United States are provided for use in the following methods: degree hour, modified degree hour, bin, modified bin, and variable degree day. This report contains sets of weather data for 22 cities in the continental United States using Test Reference Year (TRY) source weather data. The weather data at each city has been summarized in a number of ways to provide differing levels of detail necessary for alternative simplified energy calculation methods. Weather variables summarized include dry bulb and wet bulb temperature, percent relative humidity, humidity ratio, wind speed, percent possible sunshine, percent diffuse solar radiation, total solar radiation on horizontal and vertical surfaces, and solar heat gain through standard DSA glass. Monthly and annual summaries, in some cases by time of day, are available. These summaries are produced in a series of nine computer generated tables.

  1. Energy 101: Wind Turbines

    ScienceCinema (OSTI)

    None

    2013-05-29T23:59:59.000Z

    See how wind turbines generate clean electricity from the power of the wind. Highlighted are the various parts and mechanisms of a modern wind turbine.

  2. WIND DATA REPORT Mattapoisett

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Mattapoisett Mattapoisett, Massachusetts December 1, 2006 ­ February 28, 2007...................................................................................................................... 9 Wind Speed Time Series........................................................................................................... 10 Wind Speed Distributions

  3. Energy 101: Wind Turbines

    SciTech Connect (OSTI)

    None

    2011-01-01T23:59:59.000Z

    See how wind turbines generate clean electricity from the power of the wind. Highlighted are the various parts and mechanisms of a modern wind turbine.

  4. Wind power and Wind power and

    E-Print Network [OSTI]

    Wind power and the CDM #12; Wind power and the CDM Emerging practices in developing wind power 2005 Jyoti P. Painuly, Niels-Erik Clausen, Jørgen Fenhann, Sami Kamel and Romeo Pacudan #12; WIND POWER AND THE CDM Emerging practices in developing wind power projects for the Clean Development Mechanism Energy

  5. Impact Assessment of Simulated Doppler Wind Lidars with a Multivariate Variational Assimilation in the Tropics

    E-Print Network [OSTI]

    Stoffelen, Ad

    forecast errors of the European Centre for Medium-Range Weather Forecasts (ECMWF) model. Tropical mass­windImpact Assessment of Simulated Doppler Wind Lidars with a Multivariate Variational Assimilation, De Bilt, Netherlands CHRISTOPHE ACCADIA AND PETER SCHL�SSEL European Organisation

  6. Larmor radius size density holes discovered in the solar wind upstream of Earth's bow shock

    E-Print Network [OSTI]

    California at Berkeley, University of

    Larmor radius size density holes discovered in the solar wind upstream of Earth's bow shock G. K. Cao Key Laboratory for Space Weather, CSSAR, CAS, Beijing, China K. Meziane Physics Department that are five or more times the solar wind density. Particle distributions show the steepened edge can behave

  7. California offshore wind energy potential Michael J. Dvorak a,*, Cristina L. Archer b

    E-Print Network [OSTI]

    California (CA). The siting of an offshore wind farm is limited by water depth, with shallow water being generally preferable economically. Acceptable depths for offshore wind farms are divided into three based wind farms which peak at night, the offshore winds near Cape Mendocino are consistently fast

  8. National Wind Technology Center (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2011-12-01T23:59:59.000Z

    This overview fact sheet is one in a series of information fact sheets for the National Wind Technology Center (NWTC). Wind energy is one of the fastest growing electricity generation sources in the world. NREL's National Wind Technology Center (NWTC), the nation's premier wind energy technology research facility, fosters innovative wind energy technologies in land-based and offshore wind through its research and testing facilities and extends these capabilities to marine hydrokinetic water power. Research and testing conducted at the NWTC offers specialized facilities and personnel and provides technical support critical to the development of advanced wind energy systems. From the base of a system's tower to the tips of its blades, NREL researchers work side-by-side with wind industry partners to increase system reliability and reduce wind energy costs. The NWTC's centrally located research and test facilities at the foot of the Colorado Rockies experience diverse and robust wind patterns ideal for testing. The NWTC tests wind turbine components, complete wind energy systems and prototypes from 400 watts to multiple megawatts in power rating.

  9. Wind turbine

    DOE Patents [OSTI]

    Cheney, Jr., Marvin C. (Glastonbury, CT)

    1982-01-01T23:59:59.000Z

    A wind turbine of the type having an airfoil blade (15) mounted on a flexible beam (20) and a pitch governor (55) which selectively, torsionally twists the flexible beam in response to wind turbine speed thereby setting blade pitch, is provided with a limiter (85) which restricts unwanted pitch change at operating speeds due to torsional creep of the flexible beam. The limiter allows twisting of the beam by the governor under excessive wind velocity conditions to orient the blades in stall pitch positions, thereby preventing overspeed operation of the turbine. In the preferred embodiment, the pitch governor comprises a pendulum (65,70) which responds to changing rotor speed by pivotal movement, the limiter comprising a resilient member (90) which engages an end of the pendulum to restrict further movement thereof, and in turn restrict beam creep and unwanted blade pitch misadjustment.

  10. Wind Power

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron SpinPrincetonUsingWhat is abig world of tinyWind Industry SoarsWind

  11. The Great Plains Wind Power Test Facility

    SciTech Connect (OSTI)

    Schroeder, John

    2014-01-31T23:59:59.000Z

    This multi-year, multi-faceted project was focused on the continued development of a nationally-recognized facility for the testing, characterization, and improvement of grid-connected wind turbines, integrated wind-water desalination systems, and related educational and outreach topics. The project involved numerous faculty and graduate students from various engineering departments, as well as others from the departments of Geosciences (in particular the Atmospheric Science Group) and Economics. It was organized through the National Wind Institute (NWI), which serves as an intellectual hub for interdisciplinary and transdisciplinary research, commercialization and education related to wind science, wind energy, wind engineering and wind hazard mitigation at Texas Tech University (TTU). Largely executed by an academic based team, the project resulted in approximately 38 peer-reviewed publications, 99 conference presentations, the development/expansion of several experimental facilities, and two provisional patents.

  12. Using MSG-SEVIRI Cloud Physical Properties and Weather Radar Observations for the Detection of Cb/TCu Clouds

    E-Print Network [OSTI]

    Schmeits, Maurice

    . The presence of associated severe weather can be rel- evant to, for example, the transport industry, tourism, the energy supply industry, the construction industry, and farmers. The Cb and TCu clouds may pose a serious Society #12;wind shear, heavy precipitation, and lightning, that is associated with these clouds. Also

  13. Analysis of the effects of integrating wind turbines into a conventional utility: a case study. Final report

    SciTech Connect (OSTI)

    Goldenblatt, M.K.; Wegley, H.L.; Miller, A.H.

    1982-08-01T23:59:59.000Z

    The impact on a utility incorporating wind turbine generation due to wind speed sampling frequency, wind turbine performance model, and wind speed forecasting accuracy is examined. The utility analyzed in the study was the Los Angeles Department of Water and Power and the wind turbine assumed was the MOD-2. The sensitivity of the economic value of wind turbine generation to wind speed sampling frequency and wind turbine modeling technique is examined as well as the impact of wind forecasting accuracy on utility operation and production costs. Wind speed data from San Gorgonio Pass, California during 1979 are used to estimate wind turbine performance using four different simulation methods. (LEW)

  14. Analysis of the effects of integrating wind turbines into a conventional utility: a case study. Revised final report

    SciTech Connect (OSTI)

    Goldenblatt, M.K.; Wegley, H.L.; Miller, A.H.

    1983-03-01T23:59:59.000Z

    The impact on a utility incorporating wind turbine generation due to wind speed sampling frequency, wind turbine performance model, and wind speed forecasting accuracy is examined. The utility analyzed in this study was the Los Angeles Department of Water and Power, and the wind turbine assumed was the MOD-2. The sensitivity of the economic value of wind turbine generation to wind speed sampling frequency and wind turbine modeling technique is examined as well as the impact of wind forecasting accuracy on utility operation and production costs. Wind speed data from San Gorgonio Pass, California during 1979 are used to estimate wind turbine performance using four different simulation methods. (LEW)

  15. Tropical and subtropical cloud transitions in weather and climate prediction models: the GCSS/WGNE Pacific Cross-Section Intercomparison (GPCI)

    SciTech Connect (OSTI)

    Teixeira, J.; Cardoso, S.; Bonazzola, M.; Cole, Jason N.; DelGenio, Anthony D.; DeMott, C.; Franklin, A.; Hannay, Cecile; Jakob, Christian; Jiao, Y.; Karlsson, J.; Kitagawa, H.; Koehler, M.; Kuwano-Yoshida, A.; LeDrian, C.; Lock, Adrian; Miller, M.; Marquet, P.; Martins, J.; Mechoso, C. R.; Meijgaard, E. V.; Meinke, I.; Miranda, P.; Mironov, D.; Neggers, Roel; Pan, H. L.; Randall, David A.; Rasch, Philip J.; Rockel, B.; Rossow, William B.; Ritter, B.; Siebesma, A. P.; Soares, P.; Turk, F. J.; Vaillancourt, P.; Von Engeln, A.; Zhao, M.

    2011-11-01T23:59:59.000Z

    A model evaluation approach is proposed where weather and climate prediction models are analyzed along a Pacific Ocean cross-section, from the stratocumulus regions off the coast of California, across the shallow convection dominated trade-winds, to the deep convection regions of the ITCZ: the GCSS/WGNE Pacific Cross-section Intercomparison (GPCI). The main goal of GPCI is to evaluate, and help understand and improve the representation of tropical and sub-tropical cloud processes in weather and climate prediction models. In this paper, a detailed analysis of cloud regime transitions along the cross-section from the sub-tropics to the tropics for the season JJA of 1998 is presented. This GPCI study confirms many of the typical weather and climate prediction model problems in the representation of clouds: underestimation of clouds in the stratocumulus regime by most models with the corresponding consequences in terms of shortwave radiation biases; overestimation of clouds by the ECMWF Re-Analysis (ERA40) in the deep tropics (in particular) with the corresponding impact in the outgoing longwave radiation; large spread between the different models in terms of cloud cover, liquid water path and shortwave radiation; significant differences between the models in terms of vertical crosssections of cloud properties (in particular), vertical velocity and relative humidity. An alternative analysis of cloud cover mean statistics is proposed where sharp gradients in cloud cover along the GPCI transect are taken into account. This analysis shows that the negative cloud bias of some models and ERA40 in the stratocumulus regions (as compared to ISCCP) is associated not only with lower values of cloud cover in these regimes, but also with a stratocumulus-to-cumulus transition that occurs too early along the trade-wind Lagrangian trajectory. Histograms of cloud cover along the cross-section differ significantly between models. Some models exhibit a quasi-bimodal structure with cloud cover being either very large (close to 100%) or very small, while other models show a more continuous transition. The ISCCP observations suggest that reality is in-between these two extreme examples. These different patterns reflect the diverse nature of the cloud, boundary layer, and convection parameterizations in the participating weather and climate prediction models.

  16. PowerJet Wind Turbine Project

    SciTech Connect (OSTI)

    Bartlett, Raymond J

    2008-11-30T23:59:59.000Z

    PROJECT OBJECTIVE The PowerJet wind turbine overcomes problems characteristic of the small wind turbines that are on the market today by providing reliable output at a wide range of wind speeds, durability, silent operation at all wind speeds, and bird-safe operation. Prime Energy�s objective for this project was to design and integrate a generator with an electrical controller and mechanical controls to maximize the generation of electricity by its wind turbine. The scope of this project was to design, construct and test a mechanical back plate to control rotational speed in high winds, and an electronic controller to maximize power output and to assist the base plate in controlling rotational speed in high winds. The test model will continue to operate beyond the time frame of the project, with the ultimate goal of manufacturing and marketing the PowerJet worldwide. Increased Understanding of Electronic & Mechanical Controls Integrated With Electricity Generator The PowerJet back plate begins to open as wind speed exceeds 13.5 mps. The pressure inside the turbine and the turbine rotational speed are held constant. Once the back plate has fully opened at approximately 29 mps, the controller begins pulsing back to the generator to limit the rotational speed of the turbine. At a wind speed in excess of 29 mps, the controller shorts the generator and brings the turbine to a complete stop. As the wind speed subsides, the controller releases the turbine and it resumes producing electricity. Data collection and instrumentation problems prevented identification of the exact speeds at which these events occur. However, the turbine, controller and generator survived winds in excess of 36 mps, confirming that the two over-speed controls accomplished their purpose. Technical Effectiveness & Economic Feasibility Maximum Electrical Output The output of electricity is maximized by the integration of an electronic controller and mechanical over-speed controls designed and tested during the course of this project. The output exceeds that of the PowerJet�s 3-bladed counterparts (see Appendix). Durability All components of the PowerJet turbine assembly�including the electronic and mechanical controls designed, manufactured and field tested during the course of this project�proved to be durable through severe weather conditions, with constant operation and no interruption in energy production. Low Cost Materials for the turbine, generator, tower, charge controllers and ancillary parts are available at reasonable prices. Fabrication of these parts is also readily available worldwide. The cost of assembling and installing the turbine is reduced because it has fewer parts and requires less labor to manufacture and assemble, making it competitively priced compared with turbines of similar output manufactured in the U.S. and Europe. The electronic controller is the unique part to be included in the turbine package. The controllers can be manufactured in reasonably-sized production runs to keep the cost below $250 each. The data logger and 24 sensors are for research only and will be unnecessary for the commercial product. Benefit To Public The PowerJet wind-electric system is designed for distributed wind generation in 3 and 4 class winds. This wind turbine meets DOE�s requirements for a quiet, durable, bird-safe turbine that eventually can be deployed as a grid-connected generator in urban and suburban settings. Results As described more fully below and illustrated in the Appendices, the goals and objectives outlined in 2060 SOPO were fully met. Electronic and mechanical controls were successfully designed, manufactured and integrated with the generator. The turbine, tower, controllers and generators operated without incident throughout the test period, surviving severe winter and summer weather conditions such as extreme temperatures, ice and sustained high winds. The electronic controls were contained in weather-proof electrical boxes and the elec

  17. Five case studies of multifamily weatherization programs

    SciTech Connect (OSTI)

    Kinney, L; Wilson, T.; Lewis, G. [Synertech Systems Corp. (United States)] [Synertech Systems Corp. (United States); MacDonald, M. [Oak Ridge National Lab., TN (United States)] [Oak Ridge National Lab., TN (United States)

    1997-12-31T23:59:59.000Z

    The multifamily case studies that are the subject of this report were conducted to provide a better understanding of the approach taken by program operators in weatherizing large buildings. Because of significant variations in building construction and energy systems across the country, five states were selected based on their high level of multifamily weatherization. This report summarizes findings from case studies conducted by multifamily weatherization operations in five cities. The case studies were conducted between January and November 1994. Each of the case studies involved extensive interviews with the staff of weatherization subgrantees conducting multifamily weatherization, the inspection of 4 to 12 buildings weatherized between 1991 and 1993, and the analysis of savings and costs. The case studies focused on innovative techniques which appear to work well.

  18. Using Renewable Energy to Pump Water 

    E-Print Network [OSTI]

    Enciso, J.; Mecke, M.

    2004-01-01T23:59:59.000Z

    : Solar energy pro- duces more water in the summer, when water consumption is high. For wind power, the wind blows more during the spring, when the average monthly wind speed varies from 11.5 to 13.4 mph at a 33-foot height in West and Northwest Texas...Using Renewable Energy to Pump Water Juan Enciso and Michael Mecke* Wind power Wind is often used as an energy source to operate pumps and supply water to livestock. Because of the large amount of water needed for crops, wind power is rarely used...

  19. Idaho Falls Power- Residential Weatherization Loan Program

    Broader source: Energy.gov [DOE]

    Residential customers with permanently installed electric heat who receive service from the City of Idaho Falls, are eligible for 0% weatherization loans. City Energy Service will conduct an...

  20. The Weatherization Training program at Pennsylvania College ...

    Broader source: Energy.gov (indexed) [DOE]

    alone. Speakers Jeff Melville, Jack Wilson, John Manz, Kirk Gannett, Franzenia Smith, Duration 4:07 Topic Home Weatherization Education & Training Credit Energy Department...

  1. Training Program Graduates Weatherization-Ready Workers

    Broader source: Energy.gov [DOE]

    Graduates of Human Capital Development Corporation's (HCDC) First Choice Program aren't just trained in areas of construction, they also can tackle home weatherization services.

  2. Weatherization Assistance Program: Spurring Innovation, Increasing...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    The SWS provide a common yardstick for consumers, financiers, and policy makers to measure the performance of their service providers. Training the Weatherization Workforce...

  3. Maine Company Growing with Weatherization Work

    Broader source: Energy.gov [DOE]

    Maine's BIOSAFE Environmental Services expands into weatherization, assisting low-income families with their services and creating jobs as business grows.

  4. Chelan County PUD- Residential Weatherization Rebate Program

    Broader source: Energy.gov [DOE]

    Chelan County PUD offers cash rebates to residential customers who make energy efficient weatherization improvements to eligible homes. Eligible measures include efficient windows doors as well as...

  5. Adjoint Sensitivity Analysis for Numerical Weather Prediction

    E-Print Network [OSTI]

    Alexandru Cioaca

    2011-09-02T23:59:59.000Z

    Sep 2, 2011 ... Adjoint Sensitivity Analysis for Numerical Weather Prediction: Applications to Power Grid Optimization. Alexandru Cioaca(alexgc ***at*** vt.edu)

  6. Weatherization Assistance Available at Florida Pie Shop

    Office of Energy Efficiency and Renewable Energy (EERE)

    Pie in the Sky, a seemingly simple store that offers customers fresh-baked desserts, is providing a second treat: weatherization.

  7. Integrated Wind Energy/Desalination System: October 11, 2004 -- July 29, 2005

    SciTech Connect (OSTI)

    GE Global Research

    2006-10-01T23:59:59.000Z

    This study investigates the feasibility of multiple concepts for integrating wind turbines and reverse osmosis desalination systems for water purification.

  8. Mesoscale Simulations of a Wind Ramping Event for Wind Energy Prediction

    SciTech Connect (OSTI)

    Rhodes, M; Lundquist, J K

    2011-09-21T23:59:59.000Z

    Ramping events, or rapid changes of wind speed and wind direction over a short period of time, present challenges to power grid operators in regions with significant penetrations of wind energy in the power grid portfolio. Improved predictions of wind power availability require adequate predictions of the timing of ramping events. For the ramping event investigated here, the Weather Research and Forecasting (WRF) model was run at three horizontal resolutions in 'mesoscale' mode: 8100m, 2700m, and 900m. Two Planetary Boundary Layer (PBL) schemes, the Yonsei University (YSU) and Mellor-Yamada-Janjic (MYJ) schemes, were run at each resolution as well. Simulations were not 'tuned' with nuanced choices of vertical resolution or tuning parameters so that these simulations may be considered 'out-of-the-box' tests of a numerical weather prediction code. Simulations are compared with sodar observations during a wind ramping event at a 'West Coast North America' wind farm. Despite differences in the boundary-layer schemes, no significant differences were observed in the abilities of the schemes to capture the timing of the ramping event. As collaborators have identified, the boundary conditions of these simulations probably dominate the physics of the simulations. They suggest that future investigations into characterization of ramping events employ ensembles of simulations, and that the ensembles include variations of boundary conditions. Furthermore, the failure of these simulations to capture not only the timing of the ramping event but the shape of the wind profile during the ramping event (regardless of its timing) indicates that the set-up and execution of such simulations for wind power forecasting requires skill and tuning of the simulations for a specific site.

  9. New Model Examines Cumulative Impacts of Wind Energy Development...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    with funding from DOE's Wind and Water Power Program. Increasing concerns over the sustainability of sage-grouse populations in the face of increasing development have led...

  10. New Framework Transforms FAST Wind Turbine Modeling Tool (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2014-04-01T23:59:59.000Z

    A recent overhaul of the tool makes it a powerful, robust, and flexible modeling software to aid the development of innovative wind and water power technologies.

  11. U.S. Department of Energy Wind and Water Power Program Funding in the United States: Conventional Hydropower Projects, FY 2008 Â… FY 2010

    Broader source: Energy.gov (indexed) [DOE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilA group current C3E Ambassadors and C3EDepartment of EnergyWeatherizedWorkforce

  12. Exploration of Weather Impacts on Freeway Traffic Operations and Safety Using High-Resolution Weather Data

    E-Print Network [OSTI]

    Bertini, Robert L.

    Exploration of Weather Impacts on Freeway Traffic Operations and Safety Using High-Resolution Weather Data by Chengyu Dai A thesis submitted in partial fulfillment of the requirements for the degree Moradkhani Kristin Tufte Portland State University ©2011 #12;i ABSTRACT Adverse weather is considered as one

  13. Lesson 33: Weather [hali ya hewa; hali ya anga

    E-Print Network [OSTI]

    Lesson 33: Weather Weather [hali ya hewa; hali ya anga] A). Weather baridi [cold] joto [warm. 7). Sayari inayozunguka Dunia huitwa mwezi. #12;D. Kuna [There is] Swahili expresses weather is not raining.)] Zingatia [Note] kuna hali ya anga / hali ya hewa namna gani [There is...] [weather conditions

  14. HMS Inclement Weather Policy FACULTY, STAFF AND STUDENTS

    E-Print Network [OSTI]

    Goodrich, Lisa V.

    HMS Inclement Weather Policy FACULTY, STAFF AND STUDENTS During a weather emergency or other inclement weather is that, short of a declared state of emergency, the School remains open. The teaching and research activities of HMS continue despite inclement weather. In such weather emergencies, however

  15. Hurricane Katrina Wind Investigation Report

    SciTech Connect (OSTI)

    Desjarlais, A. O.

    2007-08-15T23:59:59.000Z

    This investigation of roof damage caused by Hurricane Katrina is a joint effort of the Roofing Industry Committee on Weather Issues, Inc. (RICOWI) and the Oak Ridge National Laboratory/U.S. Department of Energy (ORNL/DOE). The Wind Investigation Program (WIP) was initiated in 1996. Hurricane damage that met the criteria of a major windstorm event did not materialize until Hurricanes Charley and Ivan occurred in August 2004. Hurricane Katrina presented a third opportunity for a wind damage investigation in August 29, 2005. The major objectives of the WIP are as follows: (1) to investigate the field performance of roofing assemblies after major wind events; (2) to factually describe roofing assembly performance and modes of failure; and (3) to formally report results of the investigations and damage modes for substantial wind speeds The goal of the WIP is to perform unbiased, detailed investigations by credible personnel from the roofing industry, the insurance industry, and academia. Data from these investigations will, it is hoped, lead to overall improvement in roofing products, systems, roofing application, and durability and a reduction in losses, which may lead to lower overall costs to the public. This report documents the results of an extensive and well-planned investigative effort. The following program changes were implemented as a result of the lessons learned during the Hurricane Charley and Ivan investigations: (1) A logistics team was deployed to damage areas immediately following landfall; (2) Aerial surveillance--imperative to target wind damage areas--was conducted; (3) Investigation teams were in place within 8 days; (4) Teams collected more detailed data; and (5) Teams took improved photographs and completed more detailed photo logs. Participating associations reviewed the results and lessons learned from the previous investigations and many have taken the following actions: (1) Moved forward with recommendations for new installation procedures; (2) Updated and improved application guidelines and manuals from associations and manufacturers; (3) Launched certified product installer programs; and (4) Submitted building code changes to improve product installation. Estimated wind speeds at the damage locations came from simulated hurricane models prepared by Applied Research Associates of Raleigh, North Carolina. A dynamic hurricane wind field model was calibrated to actual wind speeds measured at 12 inland and offshore stations. The maximum estimated peak gust wind speeds in Katrina were in the 120-130 mph range. Hurricane Katrina made landfall near Grand Isle, Louisiana, and traveled almost due north across the city of New Orleans. Hurricane winds hammered the coastline from Houma, Louisiana, to Pensacola, Florida. The severe flooding problems in New Orleans made it almost impossible for the investigating teams to function inside the city. Thus the WIP investigations were all conducted in areas east of the city. The six teams covered the coastal areas from Bay Saint Louis, Mississippi, on the west to Pascagoula, Mississippi, on the east. Six teams involving a total of 25 persons documented damage to both low slope and steep slope roofing systems. The teams collected specific information on each building examined, including type of structure (use or occupancy), wall construction, roof type, roof slope, building dimensions, roof deck, insulation, construction, and method of roof attachment. In addition, the teams noted terrain exposure and the estimated wind speeds at the building site from the Katrina wind speed map. With each team member assigned a specific duty, they described the damage in detail and illustrated important features with numerous color photos. Where possible, the points of damage initiation were identified and damage propagation described. Because the wind speeds in Katrina at landfall, where the investigations took place, were less than code-specified design speeds, one would expect roof damage to be minimal. One team speculated that damage to all roofs in the area they examined was les

  16. Wind Technologies & Evolving Opportunities (Presentation)

    SciTech Connect (OSTI)

    Robichaud, R.

    2014-07-01T23:59:59.000Z

    This presentation covers opportunities for wind technology; wind energy market trends; an overview of the National Wind Technology Center near Boulder, Colorado; wind energy price and cost trends; wind turbine technology improvements; and wind resource characterization improvements.

  17. Offshore Wind Power Experiences, Potential and Key Issues for

    E-Print Network [OSTI]

    offshore wind farms are installed in British, Swedish and Danish waters, and present-day costs in 2015, 2030 and 2050 14 3.1 Offshore wind farms under construction and in planning stage 14 3Offshore Wind Power Experiences, Potential and Key Issues for Deployment Jørgen Lemming, Poul Erik

  18. innovati nNREL Computer Models Integrate Wind Turbines with

    E-Print Network [OSTI]

    innovati nNREL Computer Models Integrate Wind Turbines with Floating Platforms Far off the shores of energy-hungry coastal cities, powerful winds blow over the open ocean, where the water is too deep for today's seabed-mounted offshore wind turbines. For the United States to tap into these vast offshore

  19. Wave Models for Offshore Wind Turbines Puneet Agarwal

    E-Print Network [OSTI]

    Manuel, Lance

    Wave Models for Offshore Wind Turbines Puneet Agarwal§ and Lance Manuely Department of Civil. These wave modeling assumptions do not adequately represent waves in shallow waters where most offshore wind for estimating loads on the support structure (monopile) of an offshore wind turbine. We use a 5MW utility

  20. 2015 Iowa Wind Power Conference and Iowa Wind Energy Association...

    Energy Savers [EERE]

    2015 Iowa Wind Power Conference and Iowa Wind Energy Association Midwest Regional Energy Job Fair 2015 Iowa Wind Power Conference and Iowa Wind Energy Association Midwest Regional...

  1. Community Wind Handbook/Understand Your Wind Resource and Conduct...

    Open Energy Info (EERE)

    Conduct a Preliminary Estimate < Community Wind Handbook Jump to: navigation, search WIND ENERGY STAKEHOLDER ENGAGEMENT & OUTREACHCommunity Wind Handbook WindTurbine-icon.png...

  2. American Wind Energy Association Wind Energy Finance and Investment...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    American Wind Energy Association Wind Energy Finance and Investment Seminar American Wind Energy Association Wind Energy Finance and Investment Seminar October 20, 2014 8:00AM EDT...

  3. DREAM tool increases space weather predictions

    E-Print Network [OSTI]

    - 1 - DREAM tool increases space weather predictions April 13, 2012 Predicting space weather improved by new DREAM modeling tool Earth's radiation belts can now be studied with a new modeling tool DREAM comes into play. Radiation belt structure and dynamics revealed DREAM is a modeling tool

  4. Segmenting Time Series for Weather Forecasting

    E-Print Network [OSTI]

    Sripada, Yaji

    for generating textual summaries. Our algorithm has been implemented in a weather forecast generation system. 1 presentation, aid human understanding of the underlying data sets. SUMTIME is a research project aiming turbines. In the domain of meteorology, time series data produced by numerical weather prediction (NWP

  5. Radar-cross-section reduction of wind turbines. part 1.

    SciTech Connect (OSTI)

    Brock, Billy C.; Loui, Hung; McDonald, Jacob J.; Paquette, Joshua A.; Calkins, David A.; Miller, William K.; Allen, Steven E.; Clem, Paul Gilbert; Patitz, Ward E.

    2012-03-05T23:59:59.000Z

    In recent years, increasing deployment of large wind-turbine farms has become an issue of growing concern for the radar community. The large radar cross section (RCS) presented by wind turbines interferes with radar operation, and the Doppler shift caused by blade rotation causes problems identifying and tracking moving targets. Each new wind-turbine farm installation must be carefully evaluated for potential disruption of radar operation for air defense, air traffic control, weather sensing, and other applications. Several approaches currently exist to minimize conflict between wind-turbine farms and radar installations, including procedural adjustments, radar upgrades, and proper choice of low-impact wind-farm sites, but each has problems with limited effectiveness or prohibitive cost. An alternative approach, heretofore not technically feasible, is to reduce the RCS of wind turbines to the extent that they can be installed near existing radar installations. This report summarizes efforts to reduce wind-turbine RCS, with a particular emphasis on the blades. The report begins with a survey of the wind-turbine RCS-reduction literature to establish a baseline for comparison. The following topics are then addressed: electromagnetic model development and validation, novel material development, integration into wind-turbine fabrication processes, integrated-absorber design, and wind-turbine RCS modeling. Related topics of interest, including alternative mitigation techniques (procedural, at-the-radar, etc.), an introduction to RCS and electromagnetic scattering, and RCS-reduction modeling techniques, can be found in a previous report.

  6. 2010 Wind Technologies Market Report

    E-Print Network [OSTI]

    Wiser, Ryan

    2012-01-01T23:59:59.000Z

    wind turbine components (specifically, generators, bladeschangers. ” Wind turbine components such as blades, towers,17%). Wind turbine component exports (towers, blades,

  7. Alaska Native Weatherization Training and Jobs Program First Steps Toward Tribal Weatherization – Human Capacity Development

    SciTech Connect (OSTI)

    Wiita, Joanne

    2013-07-30T23:59:59.000Z

    The Alaska Native Weatherization Training and Jobs Project expanded weatherization services for tribal members’ homes in southeast Alaska while providing weatherization training and on the job training (OJT) for tribal citizens that lead to jobs and most probably careers in weatherization-related occupations. The program resulted in; (a) 80 Alaska Native citizens provided with skills training in five weatherization training units that were delivered in cooperation with University of Alaska Southeast, in accordance with the U.S. Department of Energy Core Competencies for Weatherization Training that prepared participants for employment in three weatherizationrelated occupations: Installer, Crew Chief, and Auditor; (b) 25 paid OJT training opportunities for trainees who successfully completed the training course; and (c) employed trained personnel that have begun to rehab on over 1,000 housing units for weatherization.

  8. Predicting Weather Regime Transitions in Northern Hemisphere Datasets

    E-Print Network [OSTI]

    Kondrashov, D.; Shen, J.; Berk, R.; D., F

    2006-01-01T23:59:59.000Z

    R, D’Andrea F, Ghil M (2007) Weather regime prediction usingA case study. Mon. Weather Rev. , 120, 1616–1627. Kimoto M,D, Ide K, Ghil M (2004) Weather regimes and preferred

  9. Towards Ultra-High Resolution Models of Climate and Weather

    E-Print Network [OSTI]

    Wehner, Michael; Oliker, Leonid; Shalf, John

    2008-01-01T23:59:59.000Z

    Models of Climate and Weather Michael Wehner, Leonid Oliker,modeling climate change and weather prediction is one of thedelity in both short term weather prediction and long term

  10. Predicting Weather Regime Transitions in Northern Hemisphere Datasets

    E-Print Network [OSTI]

    D. Kondrashov; J. Shen; R. Berk; F. D

    2011-01-01T23:59:59.000Z

    R, D’Andrea F, Ghil M (2007) Weather regime prediction usingA case study. Mon. Weather Rev. , 120, 1616–1627. Kimoto M,D, Ide K, Ghil M (2004) Weather regimes and preferred

  11. Predicting Weather Regime Transitions in Northern Hemisphere Datasets

    E-Print Network [OSTI]

    Kondrashov, Dmitri; Shen, Jie; Berk, Richard; D'Andrea, F.; Ghil, M.

    2006-01-01T23:59:59.000Z

    R, D'Andrea F, Ghil M (2007) Weather regime prediction usingA case study. Mon. Weather Rev. , 120, 1616-1627. Kimoto M ,D, Ide K , Ghil M (2004) Weather regimes and preferred

  12. 2010 Wind Technologies Market Report

    E-Print Network [OSTI]

    Wiser, Ryan

    2012-01-01T23:59:59.000Z

    Public Service Wind Integration Cost Impact Study. Preparedequipment-related wind turbine costs, the overall importinstalled wind power project costs, wind turbine transaction

  13. 2009 Wind Technologies Market Report

    E-Print Network [OSTI]

    Wiser, Ryan

    2010-01-01T23:59:59.000Z

    Public Service Wind Integration Cost Impact Study. Preparedinstalled wind power project costs, wind turbine transactionand components and wind turbine costs. Excluded from all

  14. Sandia National Laboratories: wind energy

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Wind Energy Manufacturing Lab Helps Engineers Improve Wind Power On November 15, 2011, in Energy, News, Partnership, Renewable Energy, Wind Energy Researchers at the Wind Energy...

  15. Module Handbook Specialisation Wind Energy

    E-Print Network [OSTI]

    Habel, Annegret

    ;Specialisation Wind Energy, NTU Athens, 2nd Semester Module 1/Wind Energy: Wind potential, Aerodynamics & Loading of Wind Turbines Module name: Wind potential, Aerodynamics & Loading of Wind Turbines Section Classes Evaluation of Wind Energy Potential Wind turbine Aerodynamics Static and dynamic Loading of Wind turbines

  16. Textural criteria for the discrimination of water-laid and wind-laid barrier island sands: a North Padre Island, Texas example

    E-Print Network [OSTI]

    Cunningham, David

    1985-01-01T23:59:59.000Z

    -Laid Barrier Island Sands: A North Padre Island, Texas Example (August 1985) David Cunningham, B. S. ; The University of Texas at Austin Chairman of Advisory Committee: Dr. James M. Mazzullo The grain size and grain shape characteristics of 63, 200 quartz... sand grains were analyzed from 158 samples systematically collected along three transects across North Padre Island. Sampled subenviron- ments included the forebeach, backbeach, foredune ridge, eolian flat, back-island dunes, and wind-tidal flats...

  17. A Global View on the Wind Sea and Swell Climate and Variability from ERA-40 ALVARO SEMEDO

    E-Print Network [OSTI]

    Haak, Hein

    A Global View on the Wind Sea and Swell Climate and Variability from ERA-40 ALVARO SEMEDO 2010) ABSTRACT In this paper a detailed global climatology of wind-sea and swell parameters, based on the 45-yr European Centre for Medium-Range Weather Forecasts Re-Analysis (ERA-40) wave reanalysis

  18. Appendix K - GPRA06 Weatherization and Intergovernmental Program...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Appendix K - GPRA06 Weatherization and Intergovernmental Program (WIP) Documentation Appendix K - GPRA06 Weatherization and Intergovernmental Program (WIP) Documentation State...

  19. DOE Announces $29 Million in Recovery Act Awards for Weatherization...

    Office of Environmental Management (EM)

    expand weatherization training centers across the country. These projects will provide green job training for local workers in energy efficiency retrofitting and weatherization...

  20. Test Procedure for UV Weathering Resistance of Backsheet | Department...

    Broader source: Energy.gov (indexed) [DOE]

    Test Procedure for UV Weathering Resistance of Backsheet Test Procedure for UV Weathering Resistance of Backsheet Presented at the PV Module Reliability Workshop, February 26 - 27...

  1. WEATHERIZATION PROGRAM NOTICE 10-10: REPROGRAMMING TRAINING AND...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    WEATHERIZATION PROGRAM NOTICE 10-10: REPROGRAMMING TRAINING AND TECHNICAL ASSISTANCE FUNDS TO PROGRAM OPERATIONS WEATHERIZATION PROGRAM NOTICE 10-10: REPROGRAMMING TRAINING AND...

  2. arctic weather conditions: Topics by E-print Network

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    condition for a particular vessel. Keywords Weather Routing, Degraded Condition, Crisis Manage- ment Advice, Shortest Path Berlin,Technische Universitt 18 Weather...

  3. Exploiting Weather Forecast Information in the Operation of ...

    E-Print Network [OSTI]

    Victor M Zavala

    2009-03-04T23:59:59.000Z

    Mar 4, 2009 ... We argue that anticipating the weather conditions can lead to more ... The necessary uncertainty information is extracted from the weather ...

  4. Presentation at the Weatherization Program Deep Dive Briefing...

    Energy Savers [EERE]

    4, 2009 U.S. Department of Energy (DOE) Office of Energy Efficiency and Renewable Energy (EERE) Weatherization Assistance Program presentation at Weatherization Deep Dive...

  5. Wind Integration

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del SolStrengtheningWildfires may contribute more to global warmingGlobal »Wind

  6. Wind Power

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItemResearch >Internship Program TheSiteEurekaWeekly UserWhat's New Today aboutWind

  7. Weatherization and Intergovernmental FY 2016 Budget At-A-Glance

    Broader source: Energy.gov (indexed) [DOE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilA group currentBradley Nickell DirectorThe WaterWeatherization and

  8. Weatherization and Intergovernmental Programs Office Events | Department of

    Broader source: Energy.gov (indexed) [DOE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilA group currentBradley Nickell DirectorThe WaterWeatherization andof

  9. Weatherization and Intergovernmental Programs Office Events | Department of

    Broader source: Energy.gov (indexed) [DOE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilA group currentBradley Nickell DirectorThe WaterWeatherization andofEnergy

  10. Weatherization and Intergovernmental Programs Office FY 2015 Budget

    Broader source: Energy.gov (indexed) [DOE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilA group currentBradley Nickell DirectorThe WaterWeatherization

  11. Weatherization and Workforce Guidelines for Home Energy Upgrades Fact Sheet

    Broader source: Energy.gov (indexed) [DOE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilA group currentBradley Nickell DirectorThe WaterWeatherization| Department of

  12. Weekly Weather and Crop Bulletin | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty Edit withTianlin BaxinUmweltVillageGraph HomeWaranaWaterEnergyWeekly Weather and Crop

  13. Wind Power Today

    SciTech Connect (OSTI)

    Not Available

    2006-05-01T23:59:59.000Z

    Wind Power Today is an annual publication that provides an overview of the wind energy research conducted by the U.S. Department of Energy Wind and Hydropower Technologies Program.

  14. Wind Power Today

    SciTech Connect (OSTI)

    Not Available

    2007-05-01T23:59:59.000Z

    Wind Power Today is an annual publication that provides an overview of the wind energy research conducted by the U.S. Department of Energy Wind and Hydropower Technologies Program.

  15. Sunflower Wind Farm EA

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Sunflower Wind Farm EA Sunflower Wind Farm Draft EA (25mb pdf) Note: If you have problems downloading this file, pelase contact Lou Hanebury at (406) 255-2812 Sunflower Wind Farm...

  16. Effect of wind variability on topographic waves: Lake Kinneret case Elad Shilo,1

    E-Print Network [OSTI]

    Ashkenazy, Yossi "Yosef"

    to the presence of a curl in the wind field. Using various wind regimes to force the lake indicated of the lake. Forcing the model with a spatially uniform wind field constructed from a single station resulted's response to wind-forcing will provide more accu- rate conditions for further studies concerning water qual

  17. U.S. Department of Energy Wind and Water Power Program Funding in the United States: Conventional Hydropower Projects, FY 2008 Â… FY 2010

    Broader source: Energy.gov (indexed) [DOE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilA group current C3E Ambassadors and C3EDepartment ofOFFSHORE WIND PROJECTS Fiscal

  18. A Methodology for Calculating Emissions Reductions from Renewable Energy Programs and its Application to the Wind Farms in the Texas ERCOT Region 

    E-Print Network [OSTI]

    Liu, Z.; Haberl, J.; Baltazar, J. C.; Subbarao, K.; Culp, C.; Yazdani, B.

    2007-01-01T23:59:59.000Z

    -weather normalization procedure. The uncertainty analysis showed that the daily regression models are sufficiently reliable to allow for their use in projecting wind production into other weather base years. Energy Systems Laboratory 23 SUMMARYEMISSIONS REDUCTION...1 Energy Systems Laboratory 1 A METHODOLOGY FOR CALCULATING EMISSIONS REDUCTIONS FROM RENEWABLE ENERGY PROGRAMS AND ITS APPLICATION TO THE WIND FARMS IN THE TEXAS ERCOT REGION Zi Liu, Jeff Haberl, Juan-Carlos Baltazar, Kris Subbarao, Charles...

  19. Coupled dynamic analysis of floating offshore wind farms

    E-Print Network [OSTI]

    Shim, Sangyun

    2009-05-15T23:59:59.000Z

    it is economically feasible and technologically manageable. So far, most of the offshore wind farm research has been limited to fixed platforms in shallow-water areas. In the water depth deeper than 30m, however, floating-type wind farms tend to be more feasible...

  20. Coupled dynamic analysis of floating offshore wind farms 

    E-Print Network [OSTI]

    Shim, Sangyun

    2009-05-15T23:59:59.000Z

    it is economically feasible and technologically manageable. So far, most of the offshore wind farm research has been limited to fixed platforms in shallow-water areas. In the water depth deeper than 30m, however, floating-type wind farms tend to be more feasible...

  1. Weatherization Works: Final Report of the National Weatherization Evaluation

    SciTech Connect (OSTI)

    Brown, M.A.

    2001-02-01T23:59:59.000Z

    In 1990, the US Department of Energy (DOE) sponsored a comprehensive evaluation of its Weatherization Assistance Program, the nation's largest residential energy conservation program. Oak Ridge National Laboratory (ORNL) managed the five-part study. This document summarizes the findings of the evaluation. Its conclusions are based mainly on data from the 1989 program year. The evaluation concludes that the Program meets the objectives of its enabling legislation and fulfills its mission statement. Specifically, it saves energy, lowers fuel bills, and improves the health and safety of dwellings occupied by low-income people. In addition, the Program achieves its mission in a cost-effective manner based on each of three perspectives employed by the evaluators. Finally, the evaluation estimates that the investments made in 1989 will, over a 20-year lifetime, save the equivalent of 12 million barrels of oil, roughly the amount of oil added to the Strategic Petroleum Reserve in each of the past several years. The Program's mission is to reduce the heating and cooling costs for low-income families--particularly the elderly, persons with disabilities, and children by improving the energy efficiency of their homes and ensuring their health and safety. Substantial progress has been made, but the job is far from over. The Department of Health and Human Services (HHS) reports that the average low-income family spends 12 percent of its income on residential energy, compared to only 3% for the average-income family. Homes where low-income families live also have a greater need for energy efficiency improvements, but less money to pay for them.

  2. Wind/Hydro Study

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    WindHydro Integration Feasibility Study Announcements (Updated July 8, 2010) The Final WindHydro Integration Feasibility Study Report, dated June 2, 2009, has been submitted to...

  3. Wind energy bibliography

    SciTech Connect (OSTI)

    None

    1995-05-01T23:59:59.000Z

    This bibliography is designed to help the reader search for information on wind energy. The bibliography is intended to help several audiences, including engineers and scientists who may be unfamiliar with a particular aspect of wind energy, university researchers who are interested in this field, manufacturers who want to learn more about specific wind topics, and librarians who provide information to their clients. Topics covered range from the history of wind energy use to advanced wind turbine design. References for wind energy economics, the wind energy resource, and environmental and institutional issues related to wind energy are also included.

  4. Wind Turbine Tribology Seminar

    Broader source: Energy.gov [DOE]

    Wind turbine reliability issues are often linked to failures of contacting components, such as bearings, gears, and actuators. Therefore, special consideration to tribological design in wind...

  5. Commonwealth Wind Incentive Program – Micro Wind Initiative

    Broader source: Energy.gov [DOE]

    Through the Commonwealth Wind Incentive Program – Micro Wind Initiative the Massachusetts Clean Energy Center (MassCEC) offers rebates of up to $4/W with a maximum of $130,000 for design and...

  6. Human-Centered Systems Analysis of Aircraft Separation from Adverse Weather

    E-Print Network [OSTI]

    Vigeant-Langlois, Laurence

    Adverse weather significantly impacts the safety and efficiency of flight operations. Weather information

  7. Modeling wind forcing in phase resolving simulation of nonlinear wind waves

    E-Print Network [OSTI]

    Kalmikov, Alexander G

    2010-01-01T23:59:59.000Z

    Wind waves in the ocean are a product of complex interaction of turbulent air flow with gravity driven water surface. The coupling is strong and the waves are non-stationary, irregular and highly nonlinear, which restricts ...

  8. Mid-Atlantic Wind - Overcoming the Challenges

    SciTech Connect (OSTI)

    Daniel F. Ancona III; Kathryn E. George; Richard P. Bowers; Dr. Lynn Sparling; Bruce Buckheit; Daniel LoBue

    2012-05-31T23:59:59.000Z

    This study, supported by the US Department of Energy, Wind Powering America Program, Maryland Department of Natural Resources and Chesapeake Bay Foundation, analyzed barriers to wind energy development in the Mid-Atlantic region along with options for overcoming or mitigating them. The Mid-Atlantic States including Delaware, Maryland, North Carolina and Virginia, have excellent wind energy potential and growing demand for electricity, but only two utility-scale projects have been installed to date. Reasons for this apathetic development of wind resources were analyzed and quantified for four markets. Specific applications are: 1) Appalachian mountain ridgeline sites, 2) on coastal plains and peninsulas, 3) at shallow water sites in Delaware and Chesapeake Bays, Albemarle and Pamlico Sounds, and 4) at deeper water sites off the Atlantic coast. Each market has distinctly different opportunities and barriers. The primary barriers to wind development described in this report can be grouped into four categories; state policy and regulatory issues, wind resource technical uncertainty, economic viability, and public interest in environmental issues. The properties of these typologies are not mutually independent and do interact. The report concluded that there are no insurmountable barriers to land-based wind energy projects and they could be economically viable today. Likewise potential sites in sheltered shallow waters in regional bay and sounds have been largely overlooked but could be viable currently. Offshore ocean-based applications face higher costs and technical and wind resource uncertainties. The ongoing research and development program, revision of state incentive policies, additional wind measurement efforts, transmission system expansion, environmental baseline studies and outreach to private developers and stakeholders are needed to reduce barriers to wind energy development.

  9. Mid-Atlantic Wind - Overcoming the Challenges

    SciTech Connect (OSTI)

    Daniel F. Ancona III; Kathryn E. George; Lynn Sparling; Bruce C. Buckheit; Daniel LoBue; and Richard P. Bowers

    2012-06-29T23:59:59.000Z

    This study, supported by the US Department of Energy, Wind Powering America Program, Maryland Department of Natural Resources and Chesapeake Bay Foundation, analyzed barriers to wind energy development in the Mid-Atlantic region along with options for overcoming or mitigating them. The Mid-Atlantic States including Delaware, Maryland, North Carolina and Virginia, have excellent wind energy potential and growing demand for electricity, but only two utility-scale projects have been installed to date. Reasons for this apathetic development of wind resources were analyzed and quantified for four markets. Specific applications are: 1) Appalachian mountain ridgeline sites, 2) on coastal plains and peninsulas, 3) at shallow water sites in Delaware and Chesapeake Bays, Albemarle and Pamlico Sounds, and 4) at deeper water sites off the Atlantic coast. Each market has distinctly different opportunities and barriers. The primary barriers to wind development described in this report can be grouped into four categories; state policy and regulatory issues, wind resource technical uncertainty, economic viability, and public interest in environmental issues. The properties of these typologies are not mutually independent and do interact. The report concluded that there are no insurmountable barriers to land-based wind energy projects and they could be economically viable today. Likewise potential sites in sheltered shallow waters in regional bay and sounds have been largely overlooked but could be viable currently. Offshore ocean-based applications face higher costs and technical and wind resource uncertainties. The ongoing research and development program, revision of state incentive policies, additional wind measurement efforts, transmission system expansion, environmental baseline studies and outreach to private developers and stakeholders are needed to reduce barriers to wind energy development.

  10. Wind Regimes in Complex Terrain of the Great Valley of Eastern Tennessee

    SciTech Connect (OSTI)

    Birdwell, Kevin R [ORNL

    2011-05-01T23:59:59.000Z

    This research was designed to provide an understanding of physical wind mechanisms within the complex terrain of the Great Valley of Eastern Tennessee to assess the impacts of regional air flow with regard to synoptic and mesoscale weather changes, wind direction shifts, and air quality. Meteorological data from 2008 2009 were analyzed from 13 meteorological sites along with associated upper level data. Up to 15 ancillary sites were used for reference. Two-step complete linkage and K-means cluster analyses, synoptic weather studies, and ambient meteorological comparisons were performed to generate hourly wind classifications. These wind regimes revealed seasonal variations of underlying physical wind mechanisms (forced channeled, vertically coupled, pressure-driven, and thermally-driven winds). Synoptic and ambient meteorological analysis (mixing depth, pressure gradient, pressure gradient ratio, atmospheric and surface stability) suggested up to 93% accuracy for the clustered results. Probabilistic prediction schemes of wind flow and wind class change were developed through characterization of flow change data and wind class succession. Data analysis revealed that wind flow in the Great Valley was dominated by forced channeled winds (45 67%) and vertically coupled flow (22 38%). Down-valley pressure-driven and thermally-driven winds also played significant roles (0 17% and 2 20%, respectively), usually accompanied by convergent wind patterns (15 20%) and large wind direction shifts, especially in the Central/Upper Great Valley. The behavior of most wind regimes was associated with detectable pressure differences between the Lower and Upper Great Valley. Mixing depth and synoptic pressure gradients were significant contributors to wind pattern behavior. Up to 15 wind classes and 10 sub-classes were identified in the Central Great Valley with 67 joined classes for the Great Valley at-large. Two-thirds of Great Valley at-large flow was defined by 12 classes. Winds flowed on-axis only 40% of the time. The Great Smoky Mountains helped create down-valley pressure-driven winds, downslope mountain breezes, and divergent air flow. The Cumberland Mountains and Plateau were associated with wind speed reductions in the Central Great Valley, Emory Gap Flow, weak thermally-driven winds, and northwesterly down sloping. Ridge-and-valley terrain enhanced wind direction reversals, pressure-driven winds, as well as locally and regionally produced thermally-driven flow.

  11. 2008 WIND TECHNOLOGIES MARKET REPORT

    E-Print Network [OSTI]

    Bolinger, Mark

    2010-01-01T23:59:59.000Z

    States. Specifically, Bluewater Wind and Delmarva PowerLLC Babcock & Brown Acquisition Bluewater Wind Good Energies

  12. 2008 WIND TECHNOLOGIES MARKET REPORT

    E-Print Network [OSTI]

    Bolinger, Mark

    2010-01-01T23:59:59.000Z

    policy support for other renewable energy sources, wind mayrenewable energy and climate policy initiatives. With wind

  13. The Weatherization Training program at Pennsylvania College

    SciTech Connect (OSTI)

    Meville, Jeff; Wilson, Jack; Manz, John; Gannett, Kirk; Smith, Franzennia

    2010-01-01T23:59:59.000Z

    A look into some of the remarkable work being done in the Weatherization Training program at Pennsylvania College. Penn College's program has served as the model for six other training centers in Pennsylvania alone.

  14. The Weatherization Training program at Pennsylvania College

    ScienceCinema (OSTI)

    Meville, Jeff; Wilson, Jack; Manz, John; Gannett, Kirk; Smith, Franzennia;

    2013-05-29T23:59:59.000Z

    A look into some of the remarkable work being done in the Weatherization Training program at Pennsylvania College. Penn College's program has served as the model for six other training centers in Pennsylvania alone.

  15. Clark Public Utilities- Residential Weatherization Loan Program

    Broader source: Energy.gov [DOE]

    Loans of up to $15,000 at a 5.25% interest are available through Clark Public Utilities' Weatherization Loan Program. The loans can pay for the average local cost of eligible measures, based on...

  16. Exploiting weather forecast data for cloud detection 

    E-Print Network [OSTI]

    Mackie, Shona

    2009-01-01T23:59:59.000Z

    Accurate, fast detection of clouds in satellite imagery has many applications, for example Numerical Weather Prediction (NWP) and climate studies of both the atmosphere and of the Earth’s surface temperature. Most ...

  17. Cowlitz County PUD- Residential Weatherization Plus Program

    Broader source: Energy.gov [DOE]

    Cowlitz County PUD offers an incentive to residential customers who weatherize their homes. Eligible residences can be either site-built or manufactured homes, but must have a permanently installed...

  18. Calibrating DOE-2 to weather and non-weather-dependent loads for a commercial building

    E-Print Network [OSTI]

    Bronson, John Douglas

    1992-01-01T23:59:59.000Z

    CALIBRATING DOE-2 TO WEATHER AND NON-WEATHER-DEPENDENT LOADS FOR A COMMERCIAL BUILDING A Thesis by JOHN DOUGLAS BRONSON Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment of the requirements... for the degree of MASTER OF SCIENCE May 1992 Major Subject: Mechanical Engineering CALIBRATING DOE-2 TO WEATHER AND NON-WEATHER-DEPENDENT LOADS FOR A COMMERCIAL BUILDING A Thesis by JOHN DOUGLAS BRONSON Approved as to style and content by: M D~c Dennis...

  19. Calibrating DOE-2 to weather and non-weather-dependent loads for a commercial building 

    E-Print Network [OSTI]

    Bronson, John Douglas

    1992-01-01T23:59:59.000Z

    CALIBRATING DOE-2 TO WEATHER AND NON-WEATHER-DEPENDENT LOADS FOR A COMMERCIAL BUILDING A Thesis by JOHN DOUGLAS BRONSON Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment of the requirements... for the degree of MASTER OF SCIENCE May 1992 Major Subject: Mechanical Engineering CALIBRATING DOE-2 TO WEATHER AND NON-WEATHER-DEPENDENT LOADS FOR A COMMERCIAL BUILDING A Thesis by JOHN DOUGLAS BRONSON Approved as to style and content by: M D~c Dennis...

  20. Evidence linking Arctic amplification to extreme weather in mid-latitudes

    E-Print Network [OSTI]

    Francis, Jennifer

    freeze- up begins, the extra solar energy absorbed during summer in these vast new expanses of open water probability of extreme weather events that result from prolonged conditions, such as drought, flooding, cold circulation will be affected, but how? While global climate models project that the frequency and intensity

  1. Faces of the Recovery Act: National Weatherization Conference

    ScienceCinema (OSTI)

    None

    2010-09-01T23:59:59.000Z

    Personal stories from the 2009 National Weatherization Training Conference in Indianapolis, Indiana.

  2. Weatherization Plus — Opportunities for the 21st Century

    Broader source: Energy.gov [DOE]

    Millennium Committee Strategy Report for the DOE Weatherization Assistance Program; 15 pp.; April 1999.

  3. Faces of the Recovery Act: National Weatherization Conference

    Broader source: Energy.gov [DOE]

    Personal stories from the 2009 National Weatherization Training Conference in Indianapolis, Indiana.

  4. Faces of the Recovery Act: National Weatherization Conference

    ScienceCinema (OSTI)

    Chu, Sammy; Campanella, Leslie; Sewell, Travis; Gill, Tony; Fransen, Richard; Leuty, Steve; Qualls, Xavier; Bergeron, T.J.; Stewet, Zachary

    2013-05-29T23:59:59.000Z

    Personal stories from the 2009 National Weatherization Training Conference in Indianapolis, Indiana.

  5. Weather Radar Control System Seidu Ibrahim; Advisor: Eric J. Knapp

    E-Print Network [OSTI]

    Mountziaris, T. J.

    Weather Radar Control System Seidu Ibrahim; Advisor: Eric J. Knapp Dept. of Electrical and Computer Engineering University of Massachusetts, Amherst Abstract Weather radar is an important part of the national infrastructure that is used in producing forecasts and issuing hazardous weather warnings. Traditional weather

  6. Wind Resource Assessment in Europe Using Emergy

    E-Print Network [OSTI]

    Paudel, Subodh; Santarelli, Massimo; Martin, Viktoria; Lacarriere, Bruno; Le Corre, Olivier

    2014-01-01T23:59:59.000Z

    mance characteristics of wind generator. The wind speed atcharacteristics of the wind generator. When wind speed is

  7. Concurrent Wind Cooling in Power Transmission Lines

    SciTech Connect (OSTI)

    Jake P Gentle

    2012-08-01T23:59:59.000Z

    Idaho National Laboratory and the Idaho Power Company, with collaboration from Idaho State University, have been working on a project to monitor wind and other environmental data parameters along certain electrical transmission corridors. The combination of both real-time historical weather and environmental data is being used to model, validate, and recommend possibilities for dynamic operations of the transmission lines for power and energy carrying capacity. The planned results can also be used to influence decisions about proposed design criteria for or upgrades to certain sections of the transmission lines.

  8. A study of wind waves in the Gulf Intracoastal Waterway near the Arkansas National Wildlife Refuge 

    E-Print Network [OSTI]

    Hershberger, Darla Anne

    1993-01-01T23:59:59.000Z

    of the wind waves and ship induced water motions. The wind wave analysis is examined in this thesis with a brief summary of the ship induced water motions. The wind wave characteristics were measured at the refuge and are compared to the characteristics...

  9. Utilization of Wind Energy at High Altitude

    E-Print Network [OSTI]

    Alexander Bolonkin

    2007-01-10T23:59:59.000Z

    Ground based, wind energy extraction systems have reached their maximum capability. The limitations of current designs are: wind instability, high cost of installations, and small power output of a single unit. The wind energy industry needs of revolutionary ideas to increase the capabilities of wind installations. This article suggests a revolutionary innovation which produces a dramatic increase in power per unit and is independent of prevailing weather and at a lower cost per unit of energy extracted. The main innovation consists of large free-flying air rotors positioned at high altitude for power and air stream stability, and an energy cable transmission system between the air rotor and a ground based electric generator. The air rotor system flies at high altitude up to 14 km. A stability and control is provided and systems enable the changing of altitude. This article includes six examples having a high unit power output (up to 100 MW). The proposed examples provide the following main advantages: 1. Large power production capacity per unit - up to 5,000-10,000 times more than conventional ground-based rotor designs; 2. The rotor operates at high altitude of 1-14 km, where the wind flow is strong and steady; 3. Installation cost per unit energy is low. 4. The installation is environmentally friendly (no propeller noise). -- * Presented in International Energy Conversion Engineering Conference at Providence., RI, Aug. 16-19. 2004. AIAA-2004-5705. USA. Keyword: wind energy, cable energy transmission, utilization of wind energy at high altitude, air rotor, windmills, Bolonkin.

  10. Advanced Coal Wind Hybrid: Economic Analysis

    E-Print Network [OSTI]

    Phadke, Amol

    2008-01-01T23:59:59.000Z

    Wind Generation2006. “ Integrating Wind Generation into Utility Systems”.Stand-Alone Wind Generation . 60

  11. Adverse Weather Conditions If adverse weather conditions occur which affects tube, bus or rail services, Heads of Department/

    E-Print Network [OSTI]

    Adverse Weather Conditions If adverse weather conditions occur which affects tube, bus or rail to present him/herself for work. Where, due to the adverse weather conditions, public transport is affected as a result of the adverse weather conditions (for example a child's school is closed), they should consult

  12. Howard County- Wind Ordinance

    Broader source: Energy.gov [DOE]

    This ordinance sets up provisions for allowing small wind energy systems in various zoning districts.

  13. Comparison of Wind Power and Load Forecasting Error Distributions: Preprint

    SciTech Connect (OSTI)

    Hodge, B. M.; Florita, A.; Orwig, K.; Lew, D.; Milligan, M.

    2012-07-01T23:59:59.000Z

    The introduction of large amounts of variable and uncertain power sources, such as wind power, into the electricity grid presents a number of challenges for system operations. One issue involves the uncertainty associated with scheduling power that wind will supply in future timeframes. However, this is not an entirely new challenge; load is also variable and uncertain, and is strongly influenced by weather patterns. In this work we make a comparison between the day-ahead forecasting errors encountered in wind power forecasting and load forecasting. The study examines the distribution of errors from operational forecasting systems in two different Independent System Operator (ISO) regions for both wind power and load forecasts at the day-ahead timeframe. The day-ahead timescale is critical in power system operations because it serves the unit commitment function for slow-starting conventional generators.

  14. Wind energy offers considerable promise; the wind itself is free,

    E-Print Network [OSTI]

    Langendoen, Koen

    Wind energy offers considerable promise; the wind itself is free, wind power is clean. One of these sources, wind energy, offers considerable promise; the wind itself is free, wind power is clean, and it is virtually inexhaustible. In recent years, research on wind energy has accelerated

  15. Estimation of Wind Speed in Connection to a Wind Turbine

    E-Print Network [OSTI]

    Estimation of Wind Speed in Connection to a Wind Turbine X. Ma #3; , N. K. Poulsen #3; , H. Bindner y December 20, 1995 Abstract The wind speed varies over the rotor plane of wind turbine making the wind speed on the rotor plane will be estimated by using a wind turbine as a wind measuring device

  16. NREL Software Aids Offshore Wind Turbine Designs (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2013-10-01T23:59:59.000Z

    NREL researchers are supporting offshore wind power development with computer models that allow detailed analyses of both fixed and floating offshore wind turbines. While existing computer-aided engineering (CAE) models can simulate the conditions and stresses that a land-based wind turbine experiences over its lifetime, offshore turbines require the additional considerations of variations in water depth, soil type, and wind and wave severity, which also necessitate the use of a variety of support-structure types. NREL's core wind CAE tool, FAST, models the additional effects of incident waves, sea currents, and the foundation dynamics of the support structures.

  17. Using Renewable Energy to Pump Water

    E-Print Network [OSTI]

    Enciso, J.; Mecke, M.

    Using Renewable Energy to Pump Water Juan Enciso and Michael Mecke* Wind power Wind is often used as an energy source to operate pumps and supply water to livestock. Because of the large amount of water needed for crops, wind power is rarely used... renewable energy sources ? such as solar or wind power ? for your home, for drip irrigation or for livestock water wells. Wind and solar energy can be excellent options in remote areas where the costs of extending transmission lines are high. Extending...

  18. Wind Power Outlook 2004

    SciTech Connect (OSTI)

    anon.

    2004-01-01T23:59:59.000Z

    The brochure, expected to be updated annually, provides the American Wind Energy Association's (AWAE's) up-to-date assessment of the wind industry. It provides a summary of the state of wind power in the U.S., including the challenges and opportunities facing the industry. It provides summary information on the growth of the industry, policy-related factors such as the federal wind energy production tax credit status, comparisons with natural gas, and public views on wind energy.

  19. It's Time for a New Wind Vision (Text Version) | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Water Power Technologies Office, May 6, 2013. To the side is the cover of the 20% Wind Energy By 2030 report, with the picture of a wind turbine on it. Over the past few years,...

  20. Design Considerations for Monopile Founded Offshore Wind Turbines Subject to Breaking Waves

    E-Print Network [OSTI]

    Owens, Garrett Reese 1987-

    2012-11-26T23:59:59.000Z

    The majority of offshore wind farms utilize monopile substructures. As these wind farms are typically located in water depths less than 30 meters, the effect of breaking waves on these structures is of great concern to design engineers...

  1. Design Considerations for Monopile Founded Offshore Wind Turbines Subject to Breaking Waves 

    E-Print Network [OSTI]

    Owens, Garrett Reese 1987-

    2012-11-26T23:59:59.000Z

    The majority of offshore wind farms utilize monopile substructures. As these wind farms are typically located in water depths less than 30 meters, the effect of breaking waves on these structures is of great concern to design engineers...

  2. Potential of wind-powered renewable energy membrane systems for Ghana 

    E-Print Network [OSTI]

    Park, G.L.; Schäfer, Andrea; Richard, B.S.

    2009-01-01T23:59:59.000Z

    Areas of the world that lack fresh water often have an ample supply of wind or solar energy, making renewable energy an attractive option as a power source for desalination systems. Particularly, wind energy is attractive because of its relatively...

  3. NREL Computer Models Integrate Wind Turbines with Floating Platforms (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2011-07-01T23:59:59.000Z

    Far off the shores of energy-hungry coastal cities, powerful winds blow over the open ocean, where the water is too deep for today's seabed-mounted offshore wind turbines. For the United States to tap into these vast offshore wind energy resources, wind turbines must be mounted on floating platforms to be cost effective. Researchers at the National Renewable Energy Laboratory (NREL) are supporting that development with computer models that allow detailed analyses of such floating wind turbines.

  4. Collegiate Wind Competition Engages Tomorrow's Wind Energy Innovators...

    Office of Environmental Management (EM)

    Engages Tomorrow's Wind Energy Innovators Collegiate Wind Competition Engages Tomorrow's Wind Energy Innovators January 6, 2014 - 10:00am Addthis 2014 Collegiate Teams Boise State...

  5. 20% Wind Energy by 2030: Increasing Wind Energy's Contribution...

    Energy Savers [EERE]

    : Increasing Wind Energy's Contribution to U.S. Electricity Supply (Executive Summary) 20% Wind Energy by 2030: Increasing Wind Energy's Contribution to U.S. Electricity Supply...

  6. National Wind Technology Center (Fact Sheet), National Wind Technology...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    NATIONAL WIND TECHNOLOGY CENTER www.nrel.govwind Wind energy is one of the fastest growing electricity generation sources in the world. NREL's National Wind Technology Center...

  7. Sinomatech Wind Power Blade aka Sinoma Science Technology Wind...

    Open Energy Info (EERE)

    Sinomatech Wind Power Blade aka Sinoma Science Technology Wind Turbine Blade Co Ltd Jump to: navigation, search Name: Sinomatech Wind Power Blade (aka Sinoma Science & Technology...

  8. 20% Wind Energy by 2030: Increasing Wind Energy's Contribution...

    Office of Environmental Management (EM)

    a new vision for wind energy through 2050. Taking into account all facets of wind energy (land-based, offshore, distributed), the new Wind Vision Report defines the...

  9. Improvement of weather analysis in isolated areas of the southern hemisphere by meteorological satellite information: a case study.

    E-Print Network [OSTI]

    Alvarez, Jose? Angel

    1963-01-01T23:59:59.000Z

    pressure Temperature Wind Upper-air circulation Fronts Cloudiness Cyclonic and anticyclonic activity. Weather patterns Summary of the status of available information Status of the Use of Information from Meteorological Satellites as Applied... del Fuego and South Patagonia, unpredictable most of the time except for the orographic effects, is due to the changes in the atmospheric circulation in the vicinity of the Drake Passage . Aircraft of Argentine and Chilean airlines operate...

  10. Sandia Energy - Sandia Wind Turbine Loads Database

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Sandia Wind Turbine Loads Database Home Stationary Power Energy Conversion Efficiency Wind Energy Resources Wind Software Downloads Sandia Wind Turbine Loads Database Sandia Wind...

  11. Healthy Housing Opportunities During Weatherization Work

    SciTech Connect (OSTI)

    Wilson, J.; Tohn, E.

    2011-03-01T23:59:59.000Z

    In the summer and early fall of 2010, the National Center for Healthy Housing interviewed people from a selection of state and local agencies that perform weatherizations on low-income housing in order to gauge their approach to improving the health and safety of the homes. The interviews provided a strong cross section of what work agencies can do, and how they go about funding this work when funds from the Weatherization Assistance Program (WAP) do not cover the full extent of the repairs. The report also makes recommendations for WAP in how to assist agencies to streamline and maximize the health and safety repairs they are able to make in the course of a standard weatherization.

  12. Sandia National Laboratories: Wind Power

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Wind Energy Staff On March 24, 2011, in Wind Energy On November 10, 2010, in Wind Plant Opt. Rotor Innovation Materials, Reliability & Standards Siting & Barrier Mitigation...

  13. 2009 Wind Technologies Market Report

    E-Print Network [OSTI]

    Wiser, Ryan

    2010-01-01T23:59:59.000Z

    the Impact of Significant Wind Generation Facilities on BulkOperations Impacts of Wind Generation Integration Study.Impacts of Integrating Wind Generation into Idaho Power's

  14. 2011 Wind Technologies Market Report

    E-Print Network [OSTI]

    Bolinger, Mark

    2013-01-01T23:59:59.000Z

    Operations Impacts of Wind Generation Integration Study.Impacts of Integrating Wind Generation into Idaho Power's2008. Analysis of Wind Generation Impact on ERCOT Ancillary

  15. 2008 WIND TECHNOLOGIES MARKET REPORT

    E-Print Network [OSTI]

    Bolinger, Mark

    2010-01-01T23:59:59.000Z

    the Impact of Significant Wind Generation Facilities on BulkOperations Impacts of Wind Generation Integration Study.Impacts of Integrating Wind Generation into Idaho Power's

  16. 2010 Wind Technologies Market Report

    E-Print Network [OSTI]

    Wiser, Ryan

    2012-01-01T23:59:59.000Z

    Operations Impacts of Wind Generation Integration Study.Impacts of Integrating Wind Generation into Idaho Power'sthe Impact of Significant Wind Generation Facilities on Bulk

  17. WIND DATA REPORT Presque Isle

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Presque Isle June 1, 2005 ­ August 31, 2005 Prepared for United States Department...................................................................................................................... 9 Wind Speed Time Series............................................................................................................. 9 Wind Speed Distributions

  18. WIND DATA REPORT Presque Isle

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Presque Isle December 1, 2004 ­ February 28, 2005 Prepared for United States.................................................................................................................... 10 Wind Speed Time Series........................................................................................................... 10 Wind Speed Distributions

  19. WIND DATA REPORT Presque Isle

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Presque Isle December 1, 2004 ­ December 1, 2005 Prepared for United States ......................................................................................................... 9 Wind Speed Time Series........................................................................................................... 10 Wind Speed Distributions

  20. WIND DATA REPORT Thompson Island

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Thompson Island June 1, 2003 ­ August 31, 2003 Prepared for Massachusetts...................................................................................................................... 9 Wind Speed Time Series............................................................................................................. 9 Wind Speed Distribution

  1. 2009 Wind Technologies Market Report

    E-Print Network [OSTI]

    Wiser, Ryan

    2010-01-01T23:59:59.000Z

    Prepared for the Utility Wind Integration Group. Arlington,Consult. 2010. International Wind Energy Development: WorldUBS Global I/O: Global Wind Sector. UBS Investment Research.

  2. WIND DATA REPORT Thompson Island

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Thompson Island December 1, 2003 ­ February 29, 2004 Prepared for Massachusetts.................................................................................................................... 11 Wind Speed Time Series........................................................................................................... 11 Wind Speed Distribution

  3. WIND DATA REPORT Presque Isle

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Presque Isle March 1, 2005 ­ May 31, 2005 Prepared for United States Department.................................................................................................................... 10 Wind Speed Time Series........................................................................................................... 10 Wind Speed Distributions

  4. WIND DATA REPORT Thompson Island

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Thompson Island March 1, 2003 ­ May 31, 2003 Prepared for Massachusetts Technology...................................................................................................................... 9 Wind Speed Time Series............................................................................................................. 9 Wind Speed Distributions

  5. WIND DATA REPORT FALMOUTH, MA

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT FALMOUTH, MA June1, 2004 to August 31, 2004. Prepared for Massachusetts Technology...................................................................................................................... 8 Wind Speed Time Series............................................................................................................. 8 Wind Speed Distributions

  6. WIND DATA REPORT Thompson Island

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Thompson Island September 1, 2003 ­ November 30, 2003 Prepared for Massachusetts...................................................................................................................... 9 Wind Speed Time Series............................................................................................................. 9 Wind Speed Distribution

  7. WIND DATA REPORT Thompson Island

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Thompson Island March 1, 2004 ­ May 31, 2004 Prepared for Massachusetts Technology...................................................................................................................... 9 Wind Speed Time Series............................................................................................................. 9 Wind Speed Distribution

  8. 2008 WIND TECHNOLOGIES MARKET REPORT

    E-Print Network [OSTI]

    Bolinger, Mark

    2010-01-01T23:59:59.000Z

    2008. Washington, DC: American Wind Energy Association.American Wind Energy Association ( AWEA).2009b. AWEA Small Wind Turbine Global Market Study: Year

  9. WIND DATA REPORT Thompson Island

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Thompson Island June 1, 2004 ­ August 31, 2004 Prepared for Massachusetts...................................................................................................................... 9 Wind Speed Time Series............................................................................................................. 9 Wind Speed Distribution

  10. 2008 WIND TECHNOLOGIES MARKET REPORT

    E-Print Network [OSTI]

    Bolinger, Mark

    2010-01-01T23:59:59.000Z

    Table 8 Figure 30. Wind Integration Costs at Various LevelsOperations and Maintenance Costs Wind project operations andPublic Service Wind Integration Cost Impact Study. Prepared

  11. 2011 Wind Technologies Market Report

    E-Print Network [OSTI]

    Bolinger, Mark

    2013-01-01T23:59:59.000Z

    wind turbine components (specifically, generators, bladeschangers. ” Wind turbine components such as blades, towers,Canada (8%). Wind turbine component exports (towers, blades,

  12. 2012 Wind Technologies Market Report

    E-Print Network [OSTI]

    Wiser, Ryan

    2014-01-01T23:59:59.000Z

    with the section on offshore wind; Donna Heimiller and Billyof 2012, global cumulative offshore wind capacity stood ats (DOE’s) investments in offshore wind energy research and

  13. 2011 Wind Technologies Market Report

    E-Print Network [OSTI]

    Bolinger, Mark

    2013-01-01T23:59:59.000Z

    charging wind power projects for balancing services. 81 BPA,in balancing reserves with increased wind power penetrationin balancing reserves with increased wind power penetration

  14. 2010 Wind Technologies Market Report

    E-Print Network [OSTI]

    Wiser, Ryan

    2012-01-01T23:59:59.000Z

    charging wind power projects for balancing services. 88 BPA,in balancing reserves with increased wind power penetrationin balancing reserves with increased wind power penetration

  15. 2012 Wind Technologies Market Report

    E-Print Network [OSTI]

    Wiser, Ryan

    2014-01-01T23:59:59.000Z

    Xcel Energy. 2011. Wind Induced Coal Plant Cyclingand the Implications of Wind Curtailment for Public Serviceof Colorado 2 GW and 3 GW Wind Integration Cost Study.

  16. Wind Farms in North America

    E-Print Network [OSTI]

    Hoen, Ben

    2014-01-01T23:59:59.000Z

    Opinion About Large Offshore Wind Power: Underlying Factors.Delaware Opinion on Offshore Wind Power - Interim Report.Newark, DE. 16 pages. Global Wind Energy Council (GWEC) (

  17. 2010 Wind Technologies Market Report

    E-Print Network [OSTI]

    Wiser, Ryan

    2012-01-01T23:59:59.000Z

    2011. In March 2011, NRG Bluewater Wind?s Delaware projectPurchaser Delmarva NRG Bluewater Wind (Delaware) Universitythe project, while NRG Bluewater would retain the remaining

  18. 2011 Wind Technologies Market Report

    E-Print Network [OSTI]

    Bolinger, Mark

    2013-01-01T23:59:59.000Z

    natural gas prices), pushed wind energy to the top of (andperformance, and price of wind energy, policy uncertainty –cost, performance, and price of wind energy, some of these

  19. WIND DATA REPORT Thompson Island

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Thompson Island December 1, 2004 ­ February 28, 2005 Prepared for Massachusetts.................................................................................................................... 10 Wind Speed Time Series........................................................................................................... 10 Wind Speed Distribution

  20. WIND DATA REPORT DARTMOUTH, MA

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT DARTMOUTH, MA March 26th 2005 to May 31st 2005. Prepared for Massachusetts...................................................................................................................... 9 Wind Speed Time Series............................................................................................................. 9 Wind Speed Distributions

  1. WIND DATA REPORT FALMOUTH, MA

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT FALMOUTH, MA June 1st 2004- May 31st 2005 Prepared for Massachusetts Technology.................................................................................................................... 10 Wind Speed Distributions......................................................................................................... 11 Monthly Average Wind Speeds

  2. WIND DATA REPORT Kingston, MA

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Kingston, MA March 1, 2006 - May 31, 2006 Prepared for Massachusetts Technology.................................................................................................................... 10 Wind Speed Time Series........................................................................................................... 11 Wind Speed Distributions.......

  3. WIND DATA REPORT Nantucket, MA

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Nantucket, MA September 1st 2005 to November 30th 2005. Prepared for Massachusetts.................................................................................................................... 10 Wind Speed Time Series........................................................................................................... 10 Wind Speed Distributions

  4. WIND DATA REPORT Wellfleet, MA

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Wellfleet, MA December 1st , 2006 ­ February 28th , 2007 Prepared...................................................................................................................... 8 Wind Speed Time Series............................................................................................................. 9 Wind Speed Distributions

  5. WIND DATA REPORT Nantucket, MA

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Nantucket, MA June 1st 2006 to August 31th 2006 Prepared for Massachusetts.................................................................................................................... 11 Wind Speed Time Series........................................................................................................... 11 Wind Speed D

  6. WIND DATA REPORT Truro, Massachusetts

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Truro, Massachusetts March 24th to May 31st , 2006 Prepared for Massachusetts.................................................................................................................... 11 Wind Speed Time Series........................................................................................................... 11 Wind Speed Distributions

  7. WIND DATA REPORT Chester, MA

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Chester, MA December 2006 ­ February 2007 Prepared for Massachusetts Technology...................................................................................................................... 9 Wind Speed Time Series........................................................................................................... 10 Wind Speed Distributions

  8. WIND DATA REPORT Brewster, Massachusetts

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Brewster, Massachusetts December 1, 2005 - February 28, 2006 Prepared.................................................................................................................... 11 Wind Speed Time Series........................................................................................................... 12 Wind Speed Di

  9. WIND DATA REPORT Truro, Massachusetts

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Truro, Massachusetts December, 2006 1st to February 28th , 2007 Prepared...................................................................................................................... 9 Wind Speed Time Series........................................................................................................... 10 Wind Speed Distributions

  10. WIND DATA REPORT Brewster, Massachusetts

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Brewster, Massachusetts June 1, 2006 - August 31, 2006 Prepared for Massachusetts.................................................................................................................... 11 Wind Speed Time Series........................................................................................................... 11 Wind Speed Di

  11. WIND DATA REPORT Chester, MA

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Chester, MA March 2007 ­ May 2007 Prepared for Massachusetts Technology...................................................................................................................... 8 Wind Speed Time Series........................................................................................................... 10 Wind Speed Distributions

  12. WIND DATA REPORT Chester, MA

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Chester, MA September ­ November 2006 Prepared for Massachusetts Technology.................................................................................................................... 10 Wind Speed Time Series........................................................................................................... 11 Wind Speed Distributions

  13. WIND DATA REPORT DARTMOUTH, MA

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT DARTMOUTH, MA September 1st 2005 to November 30th 2005. Prepared for Massachusetts.................................................................................................................... 10 Wind Speed Time Series........................................................................................................... 10 Wind Speed Distributions

  14. WIND DATA REPORT Kingston, MA

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Kingston, MA December 1, 2005 - February 28, 2006 Prepared for Massachusetts.................................................................................................................... 10 Wind Speed Time Series........................................................................................................... 11 Wind Speed Distribution

  15. WIND DATA REPORT Brewster, Massachusetts

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Brewster, Massachusetts September 1, 2006 - November 30, 2006 Prepared.................................................................................................................... 11 Wind Speed Time Series........................................................................................................... 11 Wind Speed Distributions..................

  16. WIND DATA REPORT Nantucket, MA

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Nantucket, MA December 1st 2005 to February 28th 2006 Prepared for Massachusetts.................................................................................................................... 11 Wind Speed Time Series........................................................................................................... 11 Wind Speed Distributions

  17. WIND DATA REPORT Gardner NCCI

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Gardner NCCI March 1, 2007 ­ May 31, 2007 Prepared for Massachusetts Technology...................................................................................................................... 8 Wind Speed Time Series............................................................................................................. 9 Wind Speed Distributions

  18. WIND DATA REPORT FALMOUTH, MA

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT FALMOUTH, MA Sep 1st 2004 to Nov 30th 2004. Prepared for Massachusetts Technology...................................................................................................................... 9 Wind Speed Time Series............................................................................................................. 9 Wind Speed Distributions

  19. WIND DATA REPORT Chester, MA

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Chester, MA June ­ August 2006 Prepared for Massachusetts Technology Collaborative.................................................................................................................... 10 Wind Speed Time Series........................................................................................................... 11 Wind Speed Distributions

  20. WIND DATA REPORT September 2005

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Lynn, MA September 2005 Prepared for Massachusetts Technology Collaborative 75.................................................................................................................... 11 Wind Speed Time Series........................................................................................................... 11 Monthly Average Wind Speeds

  1. WIND DATA REPORT Nantucket, MA

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Nantucket, MA June 1st 2005 to August 31st 2005. Prepared for Massachusetts.................................................................................................................... 10 Wind Speed Time Series........................................................................................................... 10 Wind Speed Distributions

  2. WIND DATA REPORT Truro, Massachusetts

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Truro, Massachusetts September 1st to November 30th , 2006 Prepared.................................................................................................................... 11 Wind Speed Time Series........................................................................................................... 11 Wind Speed Distributions

  3. WIND DATA REPORT Truro, Massachusetts

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Truro, Massachusetts June 1st to August 31st , 2006 Prepared for Massachusetts.................................................................................................................... 11 Wind Speed Time Series........................................................................................................... 11 Wind Speed Distributions

  4. WIND DATA REPORT DARTMOUTH, MA

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT DARTMOUTH, MA June 1st 2005 to August 31st 2005. Prepared for Massachusetts.................................................................................................................... 10 Wind Speed Time Series........................................................................................................... 10 Wind Speed Distributions

  5. WIND DATA REPORT Brewster, Massachusetts

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Brewster, Massachusetts March 1, 2006 - May 31, 2006 Prepared for Massachusetts.................................................................................................................... 11 Wind Speed Time Series........................................................................................................... 11 Wind Speed Distributi

  6. WIND DATA REPORT Thompson Island

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Thompson Island September 1, 2004 ­ November 30, 2004 Prepared for Massachusetts.................................................................................................................... 11 Wind Speed Time Series........................................................................................................... 11 Wind Speed Distribution.............

  7. WIND DATA REPORT DARTMOUTH, MA

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT DARTMOUTH, MA December 1st 2005 to February 28th 2006. Prepared for Massachusetts.................................................................................................................... 11 Wind Speed Time Series........................................................................................................... 11 Wind Speed Distributions

  8. WIND DATA REPORT Dartmouth, MA

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Dartmouth, MA March 1st 2006 to May 31th 2006 Prepared for Massachusetts.................................................................................................................... 11 Wind Speed Time Series........................................................................................................... 11 Wind Speed Distributions

  9. WIND DATA REPORT Wellfleet, MA

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Wellfleet, MA March 1st , 2007 ­ May 31st , 2007 Prepared for Massachusetts...................................................................................................................... 8 Wind Speed Time Series............................................................................................................. 9 Wind Speed Distributions

  10. WIND DATA REPORT Gardner NCCI

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Gardner NCCI September 1, 2007 ­ November 30, 2007 Prepared for Massachusetts...................................................................................................................... 8 Wind Speed Time Series............................................................................................................. 9 Wind Speed Distributions

  11. WIND DATA REPORT Thompson Island

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Thompson Island March 1, 2005 ­ May 31, 2005 Prepared for Massachusetts Technology.................................................................................................................... 10 Wind Speed Time Series........................................................................................................... 10 Wind Speed Distribution

  12. WIND DATA REPORT Chester, MA

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Chester, MA April 14 ­ May 31, 2006 Prepared for Massachusetts Technology.................................................................................................................... 10 Wind Speed Time Series........................................................................................................... 11 Wind Speed Distributions

  13. WIND DATA REPORT FALMOUTH, MA

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT FALMOUTH, MA Dec 1st 2004 to Feb 28th 2005. Prepared for Massachusetts Technology ...................................................................................................................... 9 Wind Speed Time Series............................................................................................................. 9 Wind Speed Distributions

  14. WIND DATA REPORT FALMOUTH, MA

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT FALMOUTH, MA March 1st 2005 to May 31st 2005. Prepared for Massachusetts...................................................................................................................... 9 Wind Speed Time Series............................................................................................................. 9 Wind Speed Distributions

  15. WIND DATA REPORT Dartmouth, MA

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Dartmouth, MA June 1st 2006 to July 31th 2006 Prepared for Massachusetts.................................................................................................................... 11 Wind Speed Time Series........................................................................................................... 11 Wind Speed Distributions

  16. WIND DATA REPORT Gardner NCCI

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Gardner NCCI June 1, 2007 ­ August 31, 2007 Prepared for Massachusetts Technology...................................................................................................................... 8 Wind Speed Time Series............................................................................................................. 9 Wind Speed Distributions

  17. 2011 Wind Technologies Market Report

    E-Print Network [OSTI]

    Bolinger, Mark

    2013-01-01T23:59:59.000Z

    studies show that wind energy integration costs are below $do not represent wind energy generation costs. This sectioncomponent of the overall cost of wind energy, but can vary

  18. 2008 WIND TECHNOLOGIES MARKET REPORT

    E-Print Network [OSTI]

    Bolinger, Mark

    2010-01-01T23:59:59.000Z

    do not represent wind energy generation costs. Based on thisproduction-cost reduction value of wind energy, without anwith wind energy. Generally, these costs are associated with

  19. 2011 Wind Technologies Market Report

    E-Print Network [OSTI]

    Bolinger, Mark

    2013-01-01T23:59:59.000Z

    performance, and price of wind energy, policy uncertainty –The wind energy integration, transmission, and policyand absent supportive policies for wind energy. That said,

  20. 2010 Wind Technologies Market Report

    E-Print Network [OSTI]

    Wiser, Ryan

    2012-01-01T23:59:59.000Z

    The wind energy integration, transmission, and policy2012, however, federal policy towards wind energy remainsin federal policy towards wind energy after 2012 places such

  1. 2009 Wind Technologies Market Report

    E-Print Network [OSTI]

    Wiser, Ryan

    2010-01-01T23:59:59.000Z

    The wind energy integration, transmission, and policyPTC. Moreover, federal policy towards wind energy remainsand policy announcements demonstrate accelerated activity in the offshore wind energy

  2. WIND DATA REPORT Nantucket, MA

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Nantucket, MA March 1st 2006 to May 31th 2006 Prepared for Massachusetts.................................................................................................................... 11 Wind Speed Time Series........................................................................................................... 11 Wind Speed Distribut

  3. 2010 Wind Technologies Market Report

    E-Print Network [OSTI]

    Wiser, Ryan

    2012-01-01T23:59:59.000Z

    Market Report vii potential wind energy generation withinthat nearly 8% of potential wind energy generation withinAreas, in GWh (and % of potential wind generation) Electric

  4. 2009 Wind Technologies Market Report

    E-Print Network [OSTI]

    Wiser, Ryan

    2010-01-01T23:59:59.000Z

    capacity), with 17% of all potential wind energy generationthat roughly 17% of potential wind energy generation withinexample, roughly 1% of potential wind energy output in 2009

  5. Design and Development of Dual Polarized, Stacked Patch Antenna Element for S-Band Dual-Pol Weather Radar Array

    E-Print Network [OSTI]

    Bhardwaj, Shubhendu

    2012-01-01T23:59:59.000Z

    in Weather Detection . . . . . . . . . . . . . . . . . .for S-Band Weather Radar . . . . . . . . . . . . . Dual-polpatterns of polarimetric weather radars,” Journal of

  6. 1990 Weatherization Assistance Program monitoring. Final report

    SciTech Connect (OSTI)

    Samuels, L.S.

    1992-06-19T23:59:59.000Z

    The fiscal year 1990 DOE weatherization programs were monitored in Indiana, Ohio, and Wisconsin. The focus of the monitoring was on a total of 18 subgrantees. Separate reports on the monitoring completed on each site was submitted as well as the final summary report for each state. The scope of monitoring consisted of a review of current contracts, budgets, program operating procedures, staffing, inventory control, financial and procurement procedures, review of client files and audit reports, inspection of completed dwelling units and assessment of monitoring, training, and technical assistance provided by the grantees. A random sampling of completed units were selected and visits were made to inspect these weatherized dwellings.

  7. Wind Power Career Chat

    SciTech Connect (OSTI)

    Not Available

    2011-01-01T23:59:59.000Z

    This document will teach students about careers in the wind energy industry. Wind energy, both land-based and offshore, is expected to provide thousands of new jobs in the next several decades. Wind energy companies are growing rapidly to meet America's demand for clean, renewable, and domestic energy. These companies need skilled professionals. Wind power careers will require educated people from a variety of areas. Trained and qualified workers manufacture, construct, operate, and manage wind energy facilities. The nation will also need skilled researchers, scientists, and engineers to plan and develop the next generation of wind energy technologies.

  8. Wind energy information guide

    SciTech Connect (OSTI)

    NONE

    1996-04-01T23:59:59.000Z

    This book is divided into nine chapters. Chapters 1--8 provide background and annotated references on wind energy research, development, and commercialization. Chapter 9 lists additional sources of printed information and relevant organizations. Four indices provide alphabetical access to authors, organizations, computer models and design tools, and subjects. A list of abbreviations and acronyms is also included. Chapter topics include: introduction; economics of using wind energy; wind energy resources; wind turbine design, development, and testing; applications; environmental issues of wind power; institutional issues; and wind energy systems development.

  9. Wind power today

    SciTech Connect (OSTI)

    NONE

    1998-04-01T23:59:59.000Z

    This publication highlights initiatives of the US DOE`s Wind Energy Program. 1997 yearly activities are also very briefly summarized. The first article describes a 6-megawatt wind power plant installed in Vermont. Another article summarizes technical advances in wind turbine technology, and describes next-generation utility and small wind turbines in the planning stages. A village power project in Alaska using three 50-kilowatt turbines is described. Very brief summaries of the Federal Wind Energy Program and the National Wind Technology Center are also included in the publication.

  10. EA-1726: Kahuku Wind Power, LLC Wind Power Generation Facility...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    6: Kahuku Wind Power, LLC Wind Power Generation Facility, O'ahu, HI EA-1726: Kahuku Wind Power, LLC Wind Power Generation Facility, O'ahu, HI May 3, 2010 EA-1726: Final...

  11. Final Project Report: Release of aged contaminants from weathered sediments: Effects of sorbate speciation on scaling of reactive transport

    SciTech Connect (OSTI)

    Jon Chorover, University of Arizona; Peggy O' €  ™ Day, University of California, Merced; Karl Mueller, Penn State University; Wooyong Um, Pacific Northwest National Laboratory; Carl Steefel, Lawrence Berkeley National Laboratory

    2012-10-01T23:59:59.000Z

    Hanford sediments impacted by hyperalkaline high level radioactive waste have undergone incongruent silicate mineral weathering concurrent with contaminant uptake. In this project, we studied the impact of background pore water (BPW) on strontium, cesium and iodine desorption and transport in Hanford sediments that were experimentally weathered by contact with simulated hyperalkaline tank waste leachate (STWL) solutions. Using those lab-weathered Hanford sediments (HS) and model precipitates formed during nucleation from homogeneous STWL solutions (HN), we (i) provided detailed characterization of reaction products over a matrix of field-relevant gradients in contaminant concentration, PCO2, and reaction time; (ii) improved molecular-scale understanding of how sorbate speciation controls contaminant desorption from weathered sediments upon removal of caustic sources; and (iii) developed a mechanistic, predictive model of meso- to field-scale contaminant reactive transport under these conditions.

  12. Analysis of Wet Weather Related Collision Concentration Locations: Empirical Assessment of Continuous Risk Profile

    E-Print Network [OSTI]

    Oh, Soonmi; Chung, Koohong; Ragland, David R; Chan, Ching-Yao

    2009-01-01T23:59:59.000Z

    Analysis of Wet Weather Related Collision ConcentrationThe CRP plot displays wet weather related collision profilefactors responsible for wet weather related collisions is

  13. Effects of Weather Variables on Pedestrian Volumes in Alameda County, California

    E-Print Network [OSTI]

    Attaset, Vanvisa; Schneider, Robert J.; Arnold, Lindsay S.; Ragland, David R

    2010-01-01T23:59:59.000Z

    Telegraph Avenue  Weather Station  Oakland Foothills Oakland Foothills  Several weather variables were derivedCombined Pedestrian Count and Weather Condition Database The

  14. The Economic Impacts of Climate Change: Evidence from Agricultural Profits and Random Fluctuations in Weather

    E-Print Network [OSTI]

    Deschenes, Olivier; Greenstone, Michael

    2007-01-01T23:59:59.000Z

    Coefficient,” Monthly Weather Review, 94(7), 461-465. UnitedRandom Fluctuations in Weather Olivier Deschênes and MichaelRandom Fluctuations in Weather* Olivier Deschênes University

  15. Generating day-of-operation probabilistic capacity scenarios from weather forecasts

    E-Print Network [OSTI]

    Buxi, Gurkaran

    2012-01-01T23:59:59.000Z

    user needs for convective weather forecasts," in AmericanJ. Andrews M. Weber, "Weather Information Requirements forInt. Conf. on Aviation Weather, Paris, France. [5] NASDAC. (

  16. Advanced Numerical Weather Prediction Techniques for Solar Irradiance Forecasting : : Statistical, Data-Assimilation, and Ensemble Forecasting

    E-Print Network [OSTI]

    Mathiesen, Patrick James

    2013-01-01T23:59:59.000Z

    Evaluation of numerical weather prediction solar irradiancecycle: The RUC. Monthly Weather Review, 132 (2), 495-518.representations. Monthly Weather Review, 139 (6), 1972-1995.

  17. Climate Change, Mortality, and Adaptation: Evidence from Annual Fluctuations in Weather in the US

    E-Print Network [OSTI]

    Deschênes, Olivier; Greenstone, Michael

    2007-01-01T23:59:59.000Z

    Random Fluctuations in Weather. ” American Economic Review,Enrico Moretti. 2007. “Extreme Weather Events, Mortality andof the Relation between Weather and Electricity Sales.

  18. 2008 Wind Energy Projects, Wind Powering America (Poster)

    SciTech Connect (OSTI)

    Not Available

    2009-01-01T23:59:59.000Z

    The Wind Powering America program produces a poster at the end of every calendar year that depicts new U.S. wind energy projects. The 2008 poster includes the following projects: Stetson Wind Farm in Maine; Dutch Hill Wind Farm in New York; Grand Ridge Wind Energy Center in Illinois; Hooper Bay, Alaska; Forestburg, South Dakota; Elbow Creek Wind Project in Texas; Glacier Wind Farm in Montana; Wray, Colorado; Smoky Hills Wind Farm in Kansas; Forbes Park Wind Project in Massachusetts; Spanish Fork, Utah; Goodland Wind Farm in Indiana; and the Tatanka Wind Energy Project on the border of North Dakota and South Dakota.

  19. 2010 Wind Technologies Market Report

    E-Print Network [OSTI]

    Wiser, Ryan

    2012-01-01T23:59:59.000Z

    AWEA?s Wind Energy Weekly, DOE/EPRI?s Turbine Verification10% Wind Energy Penetration New large-scale 9 wind turbineswind energy continues to decline as a result of lower wind turbine

  20. 2011 Wind Technologies Market Report

    E-Print Network [OSTI]

    Bolinger, Mark

    2013-01-01T23:59:59.000Z

    AWEA’s Wind Energy Weekly, DOE/EPRI’s Turbine Verification10% Wind Energy Penetration New large-scale 8 wind turbinesTurbine Market Report. Washington, D.C. : American Wind Energy

  1. Sandia Energy - Wind Plant Optimization

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Wind Plant Optimization Home Stationary Power Energy Conversion Efficiency Wind Energy Wind Plant Optimization Wind Plant OptimizationTara Camacho-Lopez2015-05-29T21:33:21+00:00...

  2. Wind Energy Act (Maine)

    Broader source: Energy.gov [DOE]

    The Maine Wind Energy Act is a summary of legislative findings that indicate the state's strong interest in promoting the development of wind energy and establish the state's desire to ease the...

  3. Residential Wind Power

    E-Print Network [OSTI]

    Willis, Gary

    2011-12-16T23:59:59.000Z

    This research study will explore the use of residential wind power and associated engineering and environmental issues. There is various wind power generating devices available to the consumer. The study will discuss the dependencies of human...

  4. Airplane and the wind

    E-Print Network [OSTI]

    Airplane and the wind. An airplane starts from the point A and flies to B. The speed of the airplane with respect to the air is v (constant). There is also a wind of

  5. See the Wind

    Broader source: Energy.gov (indexed) [DOE]

    See the Wind Grades: 5-8 , 9-12 Topic: Wind Energy Owner: Kidwind Project This educational material is brought to you by the U.S. Department of Energy's Office of Energy Efficiency...

  6. Unified Surface Analysis Manual Weather Prediction Center

    E-Print Network [OSTI]

    -bone in stage IV. The stages in the respective cyclone evolutions are separated by approximately 6­ 24 h's) National Weather Service (NWS) were generally based on the Norwegian Cyclone Model (Bjerknes 1919) over below shows a typical evolution according to both models of cyclone development. Conceptual models

  7. SPACE WEATHER RISKS FROM AN INSURANCE PERSPECTIVE

    E-Print Network [OSTI]

    Schrijver, Karel

    from, e.g., business interruptions. Hence, protection of the electric power supply is particularly Reliability and Infrastructure Defense Act) In 2009 North-American Electric Reliability Corporation (NERC) has-weather-prone property and infrastructure includes: · satellites (e.g., solar panels & electronics: exposed to particle

  8. Wind JOC Conference - Wind Control Changes

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    1 Wind Control Changes JOC August 10, 2012 Presentation updated on July 30, 2012 at 11:00 AM B O N N E V I L L E P O W E R A D M I N I S T R A T I O N 2 Wind Control Changes B O N...

  9. Evolution of porosity and geochemistry in Marcellus Formation black shale during weathering

    SciTech Connect (OSTI)

    Jin, Lixin [University of Texas at El Paso] [University of Texas at El Paso; Ryan, Mathur [Juniata College, Huntingdon] [Juniata College, Huntingdon; Rother, Gernot [ORNL] [ORNL; Cole, David [Ohio State University] [Ohio State University; Bazilevskaya, Ekaterina [Pennsylvania State University, University Park, PA] [Pennsylvania State University, University Park, PA; Williams, Jennifer [Pennsylvania State University] [Pennsylvania State University; Alex, Carone [Pennsylvania State University] [Pennsylvania State University; Brantley, S. L. [Pennsylvania State University, University Park, PA] [Pennsylvania State University, University Park, PA

    2013-01-01T23:59:59.000Z

    Soils developed on the Oatka Creek member of the Marcellus Formation in Huntingdon, Pennsylvania were analyzed to understand the evolution of black shale matrix porosity and the associated changes in elemental and mineralogical composition during infiltration of water into organic-rich shale. Making the reasonable assumption that soil erosion rates are the same as those measured in a nearby location on a less organic-rich shale, we suggest that soil production rates have on average been faster for this black shale compared to the gray shale in similar climate settings. This difference is attributed to differences in composition: both shales are dominantly quartz, illite, and chlorite, but the Oatka Creek member at this location has more organic matter (1.25 wt.% organic carbon in rock fragments recovered from the bottom of the auger cores and nearby outcrops) and accessory pyrite. During weathering, the extremely low-porosity bedrock slowly disaggregates into shale chips with intergranular pores and fractures. Some of these pores are eitherfilled with organic matter or air-filled but remain unconnected, and thus inaccessible to water. Based on weathering bedrock/soil profiles, disintegration is initiated with oxidation of pyrite and organic matter, which increases the overall porosity and most importantly allows water penetration. Water infiltration exposes fresh surface area and thus promotes dissolution of plagioclase and clays. As these dissolution reactions proceed, the porosity in the deepest shale chips recovered from the soil decrease from 9 to 7% while kaolinite and Fe oxyhydroxides precipitate. Eventually, near the land surface, mineral precipitation is outcompeted by dissolution or particle loss of illite and chlorite and porosity in shale chips increases to 20%. As imaged by computed tomographic analysis, weathering causes i) greater porosity, ii) greater average length of connected pores, and iii) a more branched pore network compared to the unweathered sample. This work highlights the impact of shale water O2interactions in near-surface environments: (1) black shale weathering is important for global carbon cycles as previously buried organic matter is quickly oxidized; and (2) black shales weather more quickly than less organic- and sulfide-rich shales, leading to high porosity and mineral surface areas exposed for clay weathering. The fast rates of shale gas exploitation that are ongoing in Pennsylvania, Texas and other regions in the United States may furthermore lead to release of metals to the environment if reactions between water and black shale are accelerated by gas development activities in the subsurface just as they are by low-temperature processes in ourfield study.

  10. Evolution of porosity and geochemistry in Marcellus Formation black shale during weathering

    SciTech Connect (OSTI)

    Jin, Lixin [ORNL; Mathur, Ryan [Juniata College, Huntingdon; Rother, Gernot [ORNL; Cole, David [Ohio State University; Bazilevskaya, Ekaterina [Pennsylvania State University, University Park, PA; Williams, Jennifer [Pennsylvania State University; Carone, Alex [Pennsylvania State University, University Park, PA; Brantley, Susan L [ORNL

    2013-01-01T23:59:59.000Z

    Soils developed on the Oatka Creek member of the Marcellus Formation in Huntingdon, Pennsylvania were analyzed to understand the evolution of black shale matrix porosity and the associated changes in elemental and mineralogical composition during infiltration of water into organic-rich shale. Making the reasonable assumption that soil erosion rates are the same as those measured in a nearby location on a less organic-rich shale, we suggest that soil production rates have on average been faster for this black shale compared to the gray shale in similar climate settings. This difference is attributed to differences in composition: both shales are dominantly quartz, illite, and chlorite, but the Oatka Creek member at this location has more organic matter (1.25 wt% organic carbon in rock fragments recovered from the bottom of the auger cores and nearby outcrops) and accessory pyrite. During weathering, the extremely low-porosity bedrock slowly disaggregates into shale chips with intergranular pores and fractures. Some of these pores are either filled with organic matter or air-filled but remain unconnected, and thus inaccessible to water. Based on weathering bedrock/soil profiles, disintegration is initiated with oxidation of pyrite and organic matter, which increases the overall porosity and most importantly allows water penetration. Water infiltration exposes fresh surface area and thus promotes dissolution of plagioclase and clays. As these dissolution reactions proceed, the porosity in the deepest shale chips recovered from the soil decrease from 9 to 7 % while kaolinite and Fe oxyhydroxides precipitate. Eventually, near the land surface, mineral precipitation is outcompeted by dissolution or particle loss of illite and chlorite and porosity in shale chips increases to 20%. As imaged by computed tomographic analysis, weathering causes i) greater porosity, ii) greater average length of connected pores, and iii) a more branched pore network compared to the unweathered sample. This work highlights the impact of shale-water-O2 interactions in near-surface environments: (1) black shale weathering is important for global carbon cycles as previously buried organic matter is quickly oxidized; and (2) black shales weather more quickly than less organic- and sulfide-rich shales, leading to high porosity and mineral surface areas exposed for clay weathering. The fast rates of shale gas exploitation that are ongoing in Pennsylvania, Texas and other regions in the United States may furthermore lead to release of metals to the environment if reactions between water and black shale are accelerated by gas development activities in the subsurface just as they are by low-temperature processes in our field study.

  11. When Weather Warms, Water Wises Control No. #2281

    E-Print Network [OSTI]

    Morrow, James A.

    . In the next century, the most important result of this global warming will be the melting of the polar ice caps and the associated rise in sea levels. We develop a model for global climate change, with both . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14 7 Effect of global warming on the state of Florida 14 7.1 Previously conjectured effects

  12. Evaluation & Contact Info Building NOAA's Weather & Water Social Science Program

    E-Print Network [OSTI]

    Observation Systems (GEOSS) Autonomous Underwater Vehicles (AUVs) Unmanned Aerial Systems (UAS) Environmental

  13. Extreme weather-water-food linkage: Impact on human health

    E-Print Network [OSTI]

    Howat, Ian M.

    and other precipitation, changing temperatures, and melting of summer ice caps are already occurring that predominantly affect people in developing world, and therefore, are perceived as less relevant to more developed & Adaptation in Ohio, Byrd Polar Research Center, May 15, 2014 #12;5/16/2014 5 Climate change directly affects

  14. WP2 IEA Wind Task 26:The Past and Future Cost of Wind Energy

    E-Print Network [OSTI]

    Lantz, Eric

    2014-01-01T23:59:59.000Z

    Prospects for Offshore Wind Farms. ” Wind Engineering, 28:Techniques for Offshore Wind Farms. ” Journal of Solar

  15. Simulated Convective Invigoration Processes at Trade Wind Cumulus Cold Pool ZHUJUN LI AND PAQUITA ZUIDEMA

    E-Print Network [OSTI]

    Zuidema, Paquita

    convection and cold pools using a nested­Weather Research and Fore- casting Model simulation of 19 January ratio drops in simulated cold pools fall within the envelope of observed cases, and the wind enhancement pools invigorating convection at their downwind boundary and suppressing thermals in- side the stable

  16. A new look at Southeast Greenland barrier winds and katabatic flow G.W.K. Moore

    E-Print Network [OSTI]

    Howat, Ian M.

    1 A new look at Southeast Greenland barrier winds and katabatic flow G.W.K. Moore Department; 2 Abstract: Southern Greenland is characterized by a number of high speed low-level weather systems that are all the result of the interaction of the topography of the Greenland with passing extra

  17. Kent County- Wind Ordinance

    Broader source: Energy.gov [DOE]

    This ordinance establishes provisions and standards for small wind energy systems in various zoning districts in Kent County, Maryland.

  18. Wind Webinar Text Version

    Broader source: Energy.gov [DOE]

    Download the text version of the audio from the DOE Office of Indian Energy webinar on wind renewable energy.

  19. Fermilab | Director's Policy Manual | No. 40.000 Inclement Weather...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    No. 40.000 Rev. 0 Inclement Weather and Snow Policy 2.0 Effective Date 112414 3.0 Scope This policy addresses operations during inclement weather and occurrences of heavy snow at...

  20. Weather conditions affecting VTOL airbus operations in the Northeast Corridor

    E-Print Network [OSTI]

    Simpson, R. W.

    1966-01-01T23:59:59.000Z

    A detailed study of hourly weather observations in the Northeast Corridor during the periods 0600-2400 for a ten year period 1944-1958 was made to study the implications of weather affecting the operations of a VSTOL Airbus ...

  1. Open problem: Dynamic Relational Models for Improved Hazardous Weather Prediction

    E-Print Network [OSTI]

    McGovern, Amy

    dis- covery methods for use on mesoscale weather data. Severe weather phenomena such as tornados, thun of the transportation systems. The annual economic impact of these mesoscale storms is estimated to be greater than $13B

  2. Normalizing Weather Data to Calculate Energy Savings Peer Exchange...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Normalizing Weather Data to Calculate Energy Savings Peer Exchange Call Normalizing Weather Data to Calculate Energy Savings Peer Exchange Call February 26, 2015 3:00PM to 4:3...

  3. Fair-weather clouds hold dirty secret | EMSL

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Fair-weather clouds hold dirty secret Fair-weather clouds hold dirty secret Released: May 05, 2013 New study reveals particles that seed small-scale clouds over Oklahoma Air...

  4. Calibrated Probabilistic Mesoscale Weather Field Forecasting: The Geostatistical Output Perturbation

    E-Print Network [OSTI]

    Washington at Seattle, University of

    Calibrated Probabilistic Mesoscale Weather Field Forecasting: The Geostatistical Output. This is typically not feasible for mesoscale weather prediction carried out locally by organizations without by simulating realizations of the geostatistical model. The method is applied to 48-hour mesoscale forecasts

  5. 2012 Wind Technologies Market Report

    E-Print Network [OSTI]

    Wiser, Ryan

    2014-01-01T23:59:59.000Z

    regulation and frequency response services charge to wind energyRegulation and Frequency Response Service rate for wind energy

  6. Wind Farms in North America

    E-Print Network [OSTI]

    Hoen, Ben

    2014-01-01T23:59:59.000Z

    Opinion About Large Offshore Wind Power: Underlying Factors.Delaware Opinion on Offshore Wind Power - Interim Report.

  7. 2010 Wind Technologies Market Report

    E-Print Network [OSTI]

    Wiser, Ryan

    2012-01-01T23:59:59.000Z

    space constraints. Ohio: The Lake Erie Energy DevelopmentGreat Lakes Ohio Wind, and Great Lakes Wind Energy LLC. In

  8. 2008 WIND TECHNOLOGIES MARKET REPORT

    E-Print Network [OSTI]

    Bolinger, Mark

    2010-01-01T23:59:59.000Z

    of larger balancing areas, the use of regional wind powerbalancing areas. The successful use of regional wind power

  9. 2009 Wind Technologies Market Report

    E-Print Network [OSTI]

    Wiser, Ryan

    2010-01-01T23:59:59.000Z

    directly charging wind power projects for balancing servicesin smaller balancing areas. The successful use of wind power

  10. Weather data analysis based on typical weather sequence analysis. Application: energy building simulation

    E-Print Network [OSTI]

    David, Mathieu; Garde, Francois; Boyer, Harry

    2014-01-01T23:59:59.000Z

    In building studies dealing about energy efficiency and comfort, simulation software need relevant weather files with optimal time steps. Few tools generate extreme and mean values of simultaneous hourly data including correlation between the climatic parameters. This paper presents the C++ Runeole software based on typical weather sequences analysis. It runs an analysis process of a stochastic continuous multivariable phenomenon with frequencies properties applied to a climatic database. The database analysis associates basic statistics, PCA (Principal Component Analysis) and automatic classifications. Different ways of applying these methods will be presented. All the results are stored in the Runeole internal database that allows an easy selection of weather sequences. The extreme sequences are used for system and building sizing and the mean sequences are used for the determination of the annual cooling loads as proposed by Audrier-Cros (Audrier-Cros, 1984). This weather analysis was tested with the datab...

  11. Where fast weathering creates thin regolith and slow weathering creates thick regolith

    SciTech Connect (OSTI)

    Bazilevskaya, Ekaterina [Pennsylvania State University, University Park, PA; Lebedeva, Marina [Pennsylvania State University, University Park, PA; Pavich, Milan [U.S. Geological Survey, Reston, VA; Rother, Gernot [ORNL; Parkinson, D. Y. [Advanced Light Source, LBNL; Cole, David [Ohio State University; Brantley, S. L. [Pennsylvania State University, University Park, PA

    2012-01-01T23:59:59.000Z

    Weathering disaggregates rock into regolith the fractured or granular earthmaterial that sustains life on the continental land surface. Here, we investigate what controls the depth of regolith formed on ridges of two rock compositions with similar initial porosities in Virginia (USA).A priori, we predicted that the regolith on diabasewould be thicker than on granite because the dominant mineral (feldspar) in the diabase weathers faster than its granitic counterpart. However, weathering advanced 20deeper into the granite than the diabase. The 20-thicker regolith is attributed mainly to connected micron-sized pores, microfractures formed around oxidizing biotite at 20m depth, and the lower iron (Fe) content in the felsic rock. Such porosity allows pervasive advection and deep oxidation in the granite. These observations may explainwhy regolithworldwide is thicker on felsic compared tomafic rock under similar conditions. To understand regolith formationwill require better understanding of such deep oxidation reactions and how they impact fluid flow during weathering.

  12. Wind Economic Development (Postcard)

    SciTech Connect (OSTI)

    Not Available

    2011-08-01T23:59:59.000Z

    The U.S. Department of Energy's Wind Powering America initiative provides information on the economic development benefits of wind energy. This postcard is a marketing piece that stakeholders can provide to interested parties; it will guide them to the economic development benefits section on the Wind Powering America website.

  13. Wind farm electrical system

    DOE Patents [OSTI]

    Erdman, William L.; Lettenmaier, Terry M.

    2006-07-04T23:59:59.000Z

    An approach to wind farm design using variable speed wind turbines with low pulse number electrical output. The output of multiple wind turbines are aggregated to create a high pulse number electrical output at a point of common coupling with a utility grid network. Power quality at each individual wind turbine falls short of utility standards, but the aggregated output at the point of common coupling is within acceptable tolerances for utility power quality. The approach for aggregating low pulse number electrical output from multiple wind turbines relies upon a pad mounted transformer at each wind turbine that performs phase multiplication on the output of each wind turbine. Phase multiplication converts a modified square wave from the wind turbine into a 6 pulse output. Phase shifting of the 6 pulse output from each wind turbine allows the aggregated output of multiple wind turbines to be a 24 pulse approximation of a sine wave. Additional filtering and VAR control is embedded within the wind farm to take advantage of the wind farm's electrical impedence characteristics to further enhance power quality at the point of common coupling.

  14. Wind power outlook 2006

    SciTech Connect (OSTI)

    anon.

    2006-04-15T23:59:59.000Z

    This annual brochure provides the American Wind Energy Association's up-to-date assessment of the wind industry in the United States. This 2006 general assessment shows positive signs of growth, use and acceptance of wind energy as a vital component of the U.S. energy mix.

  15. Wind Turbine Competition Introduction

    E-Print Network [OSTI]

    Wang, Xiaorui "Ray"

    Wind Turbine Competition Introduction: The Society of Hispanic Professional Engineers, SHPE at UTK, wishes to invite you to participate in our first `Wind Turbine' competition as part of Engineer's Week). You will be evaluated by how much power your wind turbine generates at the medium setting of our fan

  16. Offshore Wind Geoff Sharples

    E-Print Network [OSTI]

    Kammen, Daniel M.

    Offshore Wind Geoff Sharples geoff@clearpathenergyllc.com #12;Frequently Unanswered Ques?ons · Why don't "they" build more offshore wind? · Why not make States Cape Wind PPA at 18 c/kWh #12;The cycle of non-innova?on Offshore

  17. CONGRESSIONAL BRIEFING Offshore Wind

    E-Print Network [OSTI]

    Firestone, Jeremy

    CONGRESSIONAL BRIEFING Offshore Wind Lessons Learned from Europe: Reducing Costs and Creating Jobs Thursday, June 12, 2014 Capitol Visitors Center, Room SVC 215 Enough offshore wind capacity to power six the past decade. What has Europe learned that is applicable to a U.S. effort to deploy offshore wind off

  18. Weatherization Assistance Program: Spurring Innovation, Increasing Home Energy Efficiency

    Broader source: Energy.gov [DOE]

    Weatherization services are cost-effective, energy efficiency emasures for existing residential and multifamily housing with income-eligible residents.

  19. Solar Ramping Distributions over Multiple Timescales and Weather Patterns (Presentation)

    SciTech Connect (OSTI)

    Hodge, B. M.; Hummon, M.; Orwig, K.

    2011-10-01T23:59:59.000Z

    This presentation offers new data and statistical analysis of ramping, solar power, and weather patterns in operational systems.

  20. 200,000 homes weatherized under the Recovery Act

    SciTech Connect (OSTI)

    Zoi, Cathy

    2010-01-01T23:59:59.000Z

    Today Vice President Biden announced that the Weatherization Assistance Program has weatherized 200,000 homes under the Recovery Act. We're taking your questions and comments right now on weatherization. Join in the conversation! *Facebook -- http://www.facebook.com/energygov *Twitter -- http://www.twitter.com/energy

  1. 200,000 homes weatherized under the Recovery Act

    ScienceCinema (OSTI)

    Zoi, Cathy

    2013-05-29T23:59:59.000Z

    Today Vice President Biden announced that the Weatherization Assistance Program has weatherized 200,000 homes under the Recovery Act. We're taking your questions and comments right now on weatherization. Join in the conversation! *Facebook -- http://www.facebook.com/energygov *Twitter -- http://www.twitter.com/energy

  2. JOB OPENING POSITION: TV WeatherCenter Intern (unpaid internship)

    E-Print Network [OSTI]

    Parker, Matthew D. Brown

    JOB OPENING POSITION: TV WeatherCenter Intern (unpaid internship) JOB NUMBER: 12081 DIVISION/DEPARTMENT: WRAL-TV - Weather DESCRIPTION: THIS IS AN UNPAID INTERNSHIP. Interns in the WRAL HD Weather of North Carolina. The internship will feature hands-on experience in all aspects of television and radio

  3. Visually Accurate Multi-Field Weather Visualization Purdue University

    E-Print Network [OSTI]

    Utah, University of

    -dimensional, and involve global scale phenomena. Less commonly, but no less importantly, weather events are examined weather pat- terns, they are ineffective when examining storm scale weather phe- nomena. Two@cs.utah.edu Jason Levit University of Oklahoma jlevit@ou.edu Figure 1: Time Series of a Cloud Scale Visualization

  4. Impacts of Severe Space Weather on the Electric Grid

    E-Print Network [OSTI]

    Schrijver, Karel

    Impacts of Severe Space Weather on the Electric Grid JASON The MITRE Corporation 7515 Colshire. TITLE AND SUBTITLE 5a. CONTRACT NUMBER Impacts of Severe Space Weather on the Electric Grid 5b. GRANT on the impact of space weather on the electric grid, seeking to understand 1) the current status of solar

  5. The Role of "Citizen Science" in Weather and Climate Research

    E-Print Network [OSTI]

    The Role of "Citizen Science" in Weather and Climate Research Presented at PPSR 2012 August 4, 2012 50 years of weather records Early Traditions in Citizen Science #12;Benjamin Franklin #12;Joseph stations to help document Climate resources of the country And provide science-based weather forecasts

  6. Towards Dynamically Adaptive Weather Analysis and Forecasting in LEAD

    E-Print Network [OSTI]

    Plale, Beth

    "mesoscale" weather events. In this paper we discuss an architectural framework that is forming our thinking "mesoscale" weather events. This is accomplished by middleware that facilitates adaptive uti- lization. The meteorology goal of the project is improved prediction of mesoscale weather phenomena; that is, regional scale

  7. Utility-Based Pricing of the Weather Derivatives Hlne Hamisultane *

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    ;1. Introduction Weather impacts many sectors of the economy such as agriculture, construction, tourism and energy), in 1999. Weather derivatives are financial instruments based on a weather index. They give a payment 0 equal to the cost of the hedging portfolio at time 0. Mathematically, this price corresponds

  8. Kelly M. Nez Ocasio Puerto Rico WeatherCamp 2009

    E-Print Network [OSTI]

    Gilbes, Fernando

    Kelly M. Núñez Ocasio Puerto Rico WeatherCamp 2009 My name is Kelly M. Núñez Ocasio, I am 19 years old and in 2009 I had the gratifying opportunity to participate in the NCAS "Puerto Rico Weather Camp-1340 Certification at the University of Puerto Rico, Mayaguez Campus. The Puerto Rico Weather Camp

  9. Physics 137, Section 1, Fall Semester Severe and Hazardous Weather

    E-Print Network [OSTI]

    Hart, Gus

    Physics 137, Section 1, Fall Semester Severe and Hazardous Weather OBSERVATION PROJECTS During project or present one TV-type weather forecast. A list of a few possible observational projects is here of the project, information in the report might include times, dates and places of observations; weather

  10. Inclement Weather Policy School of Medicine and Health Sciences (SMHS)

    E-Print Network [OSTI]

    Vertes, Akos

    Inclement Weather Policy School of Medicine and Health Sciences (SMHS) If the University closes and Fellows: In the event of adverse weather, all residents and fellows are required to report (SPHHS) In the event of inclement weather, the School of Public Health and Health Services will follow

  11. CSU ATS703 Fall 2012 Numerical Weather Prediction

    E-Print Network [OSTI]

    CSU ATS703 Fall 2012 Numerical Weather Prediction ATS703 is based on the course notes and papers method. A crucial element of accurate weather prediction is initialization, which is briefly discussed in Chapter 11. In the next decade, numerical weather prediction will expe- rience a revolution in model

  12. Chemical weathering of the Panola Granite: Solute and regolith elemental fluxes and the weathering rate of biotite

    E-Print Network [OSTI]

    Chemical weathering of the Panola Granite: Solute and regolith elemental fluxes and the weathering in a saprolitic granite re- golith at Panola, Georgia, USA. Saturated fluid flow across a low-permeability kaolin

  13. Wind Power Career Chat, Wind And Water Power Program (WWPP)

    Wind Powering America (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells, Wisconsin:Deployment Activities Printable80 mPilot Project Results

  14. Power System Modeling of 20percent Wind-Generated Electricity by 2030

    E-Print Network [OSTI]

    Hand, Maureen

    2008-01-01T23:59:59.000Z

    and corresponding direct electricity sector costs, includingand avoids electricity-sector water consumption. At the sameNew Wind Fig. 5. Electricity sector capacity by technology

  15. Wind tower service lift

    DOE Patents [OSTI]

    Oliphant, David; Quilter, Jared; Andersen, Todd; Conroy, Thomas

    2011-09-13T23:59:59.000Z

    An apparatus used for maintaining a wind tower structure wherein the wind tower structure may have a plurality of legs and may be configured to support a wind turbine above the ground in a better position to interface with winds. The lift structure may be configured for carrying objects and have a guide system and drive system for mechanically communicating with a primary cable, rail or other first elongate member attached to the wind tower structure. The drive system and guide system may transmit forces that move the lift relative to the cable and thereby relative to the wind tower structure. A control interface may be included for controlling the amount and direction of the power into the guide system and drive system thereby causing the guide system and drive system to move the lift relative to said first elongate member such that said lift moves relative to said wind tower structure.

  16. Wind energy conversion system

    DOE Patents [OSTI]

    Longrigg, Paul (Golden, CO)

    1987-01-01T23:59:59.000Z

    The wind energy conversion system includes a wind machine having a propeller connected to a generator of electric power, the propeller rotating the generator in response to force of an incident wind. The generator converts the power of the wind to electric power for use by an electric load. Circuitry for varying the duty factor of the generator output power is connected between the generator and the load to thereby alter a loading of the generator and the propeller by the electric load. Wind speed is sensed electro-optically to provide data of wind speed upwind of the propeller, to thereby permit tip speed ratio circuitry to operate the power control circuitry and thereby optimize the tip speed ratio by varying the loading of the propeller. Accordingly, the efficiency of the wind energy conversion system is maximized.

  17. West Winds Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTri GlobalJump to: navigation,Goff,Holt WindInformationWestWinds Wind

  18. the risk issue of wind measurement for wind turbine operation

    E-Print Network [OSTI]

    Leu, Tzong-Shyng "Jeremy"

    Sciences, National Taiwan University #12;outline · Wind measurement in meteorology and wind farm design-related issues on wind turbine operation 3/31/2011 2 #12;WIND MEASUREMENT IN METEOROLOGY & WIND FARM DESIGN 3.brainybetty.com 11 wind farm at ChangHwa Coastal Industrial Park 70m wind tower 70m 50m 30m 10m #12;1 2 3 4 5 1 (70M

  19. WIND EFFECTS ON CHEMICAL SPILL IN ST ANDREW BAY SYSTEM

    E-Print Network [OSTI]

    Chu, Peter C.

    WIND EFFECTS ON CHEMICAL SPILL IN ST ANDREW BAY SYSTEM PETER C. CHU, PATRICE PAULY Naval Can easily reach 20 m/s and more during hurricane events #12;Water Quality Management and Analysis

  20. Department of Energy Wind Vision: An Industry Preview (Text Version...

    Broader source: Energy.gov (indexed) [DOE]

    energy source, wind has already helped the nation reduce its greenhouse gas, water, and air pollution footprint from the power sector. The 96 million metric tons of avoided CO2...